Most-cited articles · 2020
The 100 most-cited articles in BMJ, 2020
Ranked by OpenAlex citation count on 29 October 2026, out of 2,070 eligible articles BMJ published in 2020. Ranks are frozen; this page will not change. Number one, with 4,575 citations: Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline.
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The most-cited BMJ articles of 2020 are dominated by coronavirus disease 2019 research, including clinical characterisations of hospitalised patients, systematic reviews of prediction models, and studies of pregnancy and post-acute illness. Methodological guidance also features prominently, such as the Synthesis without meta-analysis (SWiM) reporting guideline, which ranks first with 4575 citations. Other leading themes include clinical prediction model development and health inequalities, represented by the Marmot review.
For readers, the list offers a view of the research that shaped medical discussion during the first year of the pandemic. It shows which topics attracted the most citation attention and how clinical, methodological, and public health work appeared alongside one another. The ranking reflects citation counts from OpenAlex and does not by itself indicate quality or importance.
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- 1top 0.1%
Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline
Mhairi Campbell, Joanne E. McKenzie, Amanda J. Sowden, Srinivasa Vittal Katikireddi, Sue Brennan and 7 more
4,575 citationsOpen access (CC-BY)doi:10.1136/bmj.l6890OpenAlex
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In systematic reviews that lack data amenable to meta-analysis, alternative synthesis methods are commonly used, but these methods are rarely reported. This lack of transparency in the methods can cast doubt on the validity of the review findings. The Synthesis Without Meta-analysis (SWiM) guideline has been developed to guide clear reporting in reviews of interventions in which alternative synthesis methods to meta-analysis of effect estimates are used. This article describes the development of the SWiM guideline for the synthesis of quantitative data of intervention effects and presents the nine SWiM reporting items with accompanying explanations and examples.
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Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study
Tao Chen, Di Wu, Huilong Chen, Weiming Yan, Danlei Yang and 16 more
3,903 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m1091OpenAlex
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OBJECTIVE: To delineate the clinical characteristics of patients with coronavirus disease 2019 (covid-19) who died. DESIGN: Retrospective case series. SETTING: Tongji Hospital in Wuhan, China. PARTICIPANTS: Among a cohort of 799 patients, 113 who died and 161 who recovered with a diagnosis of covid-19 were analysed. Data were collected until 28 February 2020. MAIN OUTCOME MEASURES: Clinical characteristics and laboratory findings were obtained from electronic medical records with data collection forms. RESULTS: The median age of deceased patients (68 years) was significantly older than recovered patients (51 years). Male sex was more predominant in deceased patients (83; 73%) than in recovered patients (88; 55%). Chronic hypertension and other cardiovascular comorbidities were more frequent among deceased patients (54 (48%) and 16 (14%)) than recovered patients (39 (24%) and 7 (4%)). Dyspnoea, chest tightness, and disorder of consciousness were more common in deceased patients (70 (62%), 55 (49%), and 25 (22%)) than in recovered patients (50 (31%), 48 (30%), and 1 (1%)). The median…
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Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study
Annemarie Beth Docherty, Ewen Munro Harrison, Christopher Green, Hayley E. Hardwick, Riinu Pius and 20 more
3,480 citationsOpen access (CC-BY)doi:10.1136/bmj.m1985OpenAlex
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OBJECTIVE: To characterise the clinical features of patients admitted to hospital with coronavirus disease 2019 (covid-19) in the United Kingdom during the growth phase of the first wave of this outbreak who were enrolled in the International Severe Acute Respiratory and emerging Infections Consortium (ISARIC) World Health Organization (WHO) Clinical Characterisation Protocol UK (CCP-UK) study, and to explore risk factors associated with mortality in hospital. DESIGN: Prospective observational cohort study with rapid data gathering and near real time analysis. SETTING: 208 acute care hospitals in England, Wales, and Scotland between 6 February and 19 April 2020. A case report form developed by ISARIC and WHO was used to collect clinical data. A minimal follow-up time of two weeks (to 3 May 2020) allowed most patients to complete their hospital admission. PARTICIPANTS: 20 133 hospital inpatients with covid-19. MAIN OUTCOME MEASURES: Admission to critical care (high dependency unit or intensive care unit) and mortality in hospital. RESULTS: The median age of patients admitted to…
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Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Laure Wynants, Ben VAN CALSTER, Professor Gary S. Collins, Richard D Riley, Georg Heinze and 25 more
3,069 citationsOpen access (CC-BY)doi:10.1136/bmj.m1328OpenAlex
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Abstract Objective To review and appraise the validity and usefulness of published and preprint reports of prediction models for prognosis of patients with covid-19, and for detecting people in the general population at increased risk of covid-19 infection or being admitted to hospital or dying with the disease. Design Living systematic review and critical appraisal by the covid-PRECISE (Precise Risk Estimation to optimise covid-19 Care for Infected or Suspected patients in diverse sEttings) group. Data sources PubMed and Embase through Ovid, up to 17 February 2021, supplemented with arXiv, medRxiv, and bioRxiv up to 5 May 2020. Study selection Studies that developed or validated a multivariable covid-19 related prediction model. Data extraction At least two authors independently extracted data using the CHARMS (critical appraisal and data extraction for systematic reviews of prediction modelling studies) checklist; risk of bias was assessed using PROBAST (prediction model risk of bias assessment tool). Results 126 978 titles were screened, and 412 studies describing 731 new…
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Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study
Christopher Michael Petrilli, Simon A. Jones, Jie Yang, Harish Rajagopalan, Luke O’Donnell and 5 more
3,054 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m1966OpenAlex
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OBJECTIVE: To describe outcomes of people admitted to hospital with coronavirus disease 2019 (covid-19) in the United States, and the clinical and laboratory characteristics associated with severity of illness. DESIGN: Prospective cohort study. SETTING: Single academic medical center in New York City and Long Island. PARTICIPANTS: 5279 patients with laboratory confirmed severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection between 1 March 2020 and 8 April 2020. The final date of follow up was 5 May 2020. MAIN OUTCOME MEASURES: Outcomes were admission to hospital, critical illness (intensive care, mechanical ventilation, discharge to hospice care, or death), and discharge to hospice care or death. Predictors included patient characteristics, medical history, vital signs, and laboratory results. Multivariable logistic regression was conducted to identify risk factors for adverse outcomes, and competing risk survival analysis for mortality. RESULTS: Of 11 544 people tested for SARS-Cov-2, 5566 (48.2%) were positive. After exclusions, 5279 were included. 2741 of these…
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Calculating the sample size required for developing a clinical prediction model
Richard D Riley, Joie Ensor, Kym I E Snell, Frank E. Harrell, Glen Philip Martin and 4 more
2,882 citationsOpen accessdoi:10.1136/bmj.m441OpenAlex
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Clinical prediction models aim to predict outcomes in individuals, to inform diagnosis or prognosis in healthcare. Hundreds of prediction models are published in the medical literature each year, yet many are developed using a dataset that is too small for the total number of participants or outcome events. This leads to inaccurate predictions and consequently incorrect healthcare decisions for some individuals. In this article, the authors provide guidance on how to calculate the sample size required to develop a clinical prediction model.
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Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy: living systematic review and meta-analysis
John Allotey, Silvia Fernández-García, Mercedes Bonet, Elena Stallings, Magnus Yap and 25 more
2,301 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m3320OpenAlex
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OBJECTIVE: To determine the clinical manifestations, risk factors, and maternal and perinatal outcomes in pregnant and recently pregnant women with suspected or confirmed coronavirus disease 2019 (covid-19). DESIGN: Living systematic review and meta-analysis. DATA SOURCES: Medline, Embase, Cochrane database, WHO COVID-19 database, China National Knowledge Infrastructure (CNKI), and Wanfang databases from 1 December 2019 to 6 October 2020, along with preprint servers, social media, and reference lists. STUDY SELECTION: Cohort studies reporting the rates, clinical manifestations (symptoms, laboratory and radiological findings), risk factors, and maternal and perinatal outcomes in pregnant and recently pregnant women with suspected or confirmed covid-19. DATA EXTRACTION: At least two researchers independently extracted the data and assessed study quality. Random effects meta-analysis was performed, with estimates pooled as odds ratios and proportions with 95% confidence intervals. All analyses will be updated regularly. RESULTS: 192 studies were included. Overall, 10% (95% confidence…
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Managing mental health challenges faced by healthcare workers during covid-19 pandemic
Neil L. Greenberg, Mary Jane Docherty, Sam Gnanapragasam, Simon C. Wessely
2,134 citationsOpen accessdoi:10.1136/bmj.m1211OpenAlex
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Neil Greenberg and colleagues set out measures that healthcare managers need to put in place to protect the mental health of healthcare staff having to make morally challenging decisions
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Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series
Xiaowei Xu, Xiaoxin Wu, Xiangao Jiang, Kaijin Xu, Ling-Jun Ying and 9 more
2,047 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m606OpenAlex
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OBJECTIVE: To study the clinical characteristics of patients in Zhejiang province, China, infected with the 2019 severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) responsible for coronavirus disease 2019 (covid-2019). DESIGN: Retrospective case series. SETTING: Seven hospitals in Zhejiang province, China. PARTICIPANTS: 62 patients admitted to hospital with laboratory confirmed SARS-Cov-2 infection. Data were collected from 10 January 2020 to 26 January 2020. MAIN OUTCOME MEASURES: Clinical data, collected using a standardised case report form, such as temperature, history of exposure, incubation period. If information was not clear, the working group in Hangzhou contacted the doctor responsible for treating the patient for clarification. RESULTS: Of the 62 patients studied (median age 41 years), only one was admitted to an intensive care unit, and no patients died during the study. According to research, none of the infected patients in Zhejiang province were ever exposed to the Huanan seafood market, the original source of the virus; all studied cases were infected by…
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Health equity in England: the Marmot review 10 years on
Michael Gideon Marmot
1,832 citationsOpen access (CC-BY)doi:10.1136/bmj.m693OpenAlex
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Ten years after the landmark review on health inequalities in England, coauthor Michael Marmot says the situation has become worse
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Mortality due to cancer treatment delay: systematic review and meta-analysis
Timothy Paul Hanna, Will D. King, Stephane Thibodeau, Matthew Jalink, Gregory A. Paulin and 5 more
1,740 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m4087OpenAlex
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OBJECTIVE: To quantify the association of cancer treatment delay and mortality for each four week increase in delay to inform cancer treatment pathways. DESIGN: Systematic review and meta-analysis. DATA SOURCES: Published studies in Medline from 1 January 2000 to 10 April 2020. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Curative, neoadjuvant, and adjuvant indications for surgery, systemic treatment, or radiotherapy for cancers of the bladder, breast, colon, rectum, lung, cervix, and head and neck were included. The main outcome measure was the hazard ratio for overall survival for each four week delay for each indication. Delay was measured from diagnosis to first treatment, or from the completion of one treatment to the start of the next. The primary analysis only included high validity studies controlling for major prognostic factors. Hazard ratios were assumed to be log linear in relation to overall survival and were converted to an effect for each four week delay. Pooled effects were estimated using DerSimonian and Laird random effect models. RESULTS: The review included 34…
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Management of post-acute covid-19 in primary care
Trisha Greenhalgh, Matthew Knight, Christine A’Court, Maria Buxton, Laiba Husain
1,691 citationsOpen accessdoi:10.1136/bmj.m3026OpenAlex
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What you need to know• Management of covid-19 after the first three weeks is currently based on limited evidence • Approximately 10% of people experience prolonged illness after covid-19 • Many such patients recover spontaneously (if slowly) with holistic support, rest, symptomatic treatment, and gradual increase in activity • Home pulse oximetry can be helpful in monitoring breathlessness • Indications for specialist assessment include clinical concern along with respiratory, cardiac, or neurological symptoms that are new, persistent, or progressive
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Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study
Yongze Li, Di Teng, Xiaoguang Shi, Guijun Qin, Yingfen Qin and 25 more
1,585 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m997OpenAlex
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Abstract Objective To assess the prevalence of diabetes and its risk factors. Design Population based, cross sectional study. Setting 31 provinces in mainland China with nationally representative cross sectional data from 2015 to 2017. Participants 75 880 participants aged 18 and older—a nationally representative sample of the mainland Chinese population. Main outcome measures Prevalence of diabetes among adults living in China, and the prevalence by sex, regions, and ethnic groups, estimated by the 2018 American Diabetes Association (ADA) and the World Health Organization diagnostic criteria. Demographic characteristics, lifestyle, and history of disease were recorded by participants on a questionnaire. Anthropometric and clinical assessments were made of serum concentrations of fasting plasma glucose (one measurement), two hour plasma glucose, and glycated haemoglobin (HbA1c). Results The weighted prevalence of total diabetes (n=9772), self-reported diabetes (n=4464), newly diagnosed diabetes (n=5308), and prediabetes (n=27 230) diagnosed by the ADA criteria were 12.8% (95%…
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Viral load dynamics and disease severity in patients infected with SARS-CoV-2 in Zhejiang province, China, January-March 2020: retrospective cohort study
Shufa Zheng, Jian‐Gao Fan, Fei Yu, Baihuan Feng, Bin Lou and 25 more
1,439 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m1443OpenAlex
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OBJECTIVE: To evaluate viral loads at different stages of disease progression in patients infected with the 2019 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the first four months of the epidemic in Zhejiang province, China. DESIGN: Retrospective cohort study. SETTING: A designated hospital for patients with covid-19 in Zhejiang province, China. PARTICIPANTS: 96 consecutively admitted patients with laboratory confirmed SARS-CoV-2 infection: 22 with mild disease and 74 with severe disease. Data were collected from 19 January 2020 to 20 March 2020. MAIN OUTCOME MEASURES: Ribonucleic acid (RNA) viral load measured in respiratory, stool, serum, and urine samples. Cycle threshold values, a measure of nucleic acid concentration, were plotted onto the standard curve constructed on the basis of the standard product. Epidemiological, clinical, and laboratory characteristics and treatment and outcomes data were obtained through data collection forms from electronic medical records, and the relation between clinical data and disease severity was analysed. RESULTS: 3497…
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National, regional, and worldwide epidemiology of psoriasis: systematic analysis and modelling study
Rosa Parisi, Ireny Y. K. Iskandar, Evangelos Kontopantelis, Matthias Augustin, Christopher E.M. Griffiths and 1 more
1,193 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m1590OpenAlex
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OBJECTIVE: To systematically review and provide information on the incidence of psoriasis and quantify global, regional, and country specific estimates of its prevalence. DESIGN: Systematic review and meta-analysis. DATA SOURCES: Medline, Embase, Web of Science, SciELO, Korean Journal Databases, Russian Science Citation Index, WPRIM, SaudiMedLit, Informit, IndMed, and HERDIN were searched systematically from their inception dates to October 2019. METHODS: Studies were included if they reported on the incidence or prevalence of psoriasis in the general population. Incidence data were summarised descriptively, whereas bayesian hierarchical models were fitted to estimate the global, regional, and country specific prevalence of psoriasis. RESULTS: 41 164 records were identified and 168 studies met the inclusion criteria. In adults, the incidence of psoriasis varied from 30.3 per 100 000 person years (95% confidence interval 26.6 to 34.1) in Taiwan to 321.0 per 100 000 person years in Italy. The prevalence of psoriasis varied from 0.14% (95% uncertainty interval 0.05% to 0.40%) in east…
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Characteristics and outcomes of pregnant women admitted to hospital with confirmed SARS-CoV-2 infection in UK: national population based cohort study
Marian Knight, Kathryn J Bunch, Nicola Vousden, Edward Morris, Nigel Simpson and 5 more
1,171 citationsOpen access (CC-BY)doi:10.1136/bmj.m2107OpenAlex
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OBJECTIVES: To describe a national cohort of pregnant women admitted to hospital with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in the UK, identify factors associated with infection, and describe outcomes, including transmission of infection, for mothers and infants. DESIGN: Prospective national population based cohort study using the UK Obstetric Surveillance System (UKOSS). SETTING: All 194 obstetric units in the UK. PARTICIPANTS: 427 pregnant women admitted to hospital with confirmed SARS-CoV-2 infection between 1 March 2020 and 14 April 2020. MAIN OUTCOME MEASURES: Incidence of maternal hospital admission and infant infection. Rates of maternal death, level 3 critical care unit admission, fetal loss, caesarean birth, preterm birth, stillbirth, early neonatal death, and neonatal unit admission. RESULTS: The estimated incidence of admission to hospital with confirmed SARS-CoV-2 infection in pregnancy was 4.9 (95% confidence interval 4.5 to 5.4) per 1000 maternities. 233 (56%) pregnant women admitted to hospital with SARS-CoV-2 infection in pregnancy…
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Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
Myura Nagendran, Yang Chen, Christopher A. Lovejoy, Anthony C. Gordon, Matthieu Komorowski and 5 more
1,149 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m689OpenAlex
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OBJECTIVE: To systematically examine the design, reporting standards, risk of bias, and claims of studies comparing the performance of diagnostic deep learning algorithms for medical imaging with that of expert clinicians. DESIGN: Systematic review. DATA SOURCES: Medline, Embase, Cochrane Central Register of Controlled Trials, and the World Health Organization trial registry from 2010 to June 2019. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Randomised trial registrations and non-randomised studies comparing the performance of a deep learning algorithm in medical imaging with a contemporary group of one or more expert clinicians. Medical imaging has seen a growing interest in deep learning research. The main distinguishing feature of convolutional neural networks (CNNs) in deep learning is that when CNNs are fed with raw data, they develop their own representations needed for pattern recognition. The algorithm learns for itself the features of an image that are important for classification rather than being told by humans which features to use. The selected studies aimed to use…
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Progression to type 2 diabetes in women with a known history of gestational diabetes: systematic review and meta-analysis
Elpida Vounzoulaki, Kamlesh K. Khunti, Sophia C. Abner, Bee Kang Tan, Melanie Jane Davies and 1 more
1,146 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m1361OpenAlex
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Abstract Objective To estimate and compare progression rates to type 2 diabetes mellitus (T2DM) in women with gestational diabetes mellitus (GDM) and healthy controls. Design Systematic review and meta-analysis. Data sources Medline and Embase between January 2000 and December 2019, studies published in English and conducted on humans. Eligibility criteria for selecting studies Observational studies investigating progression to T2DM. Inclusion criteria were postpartum follow-up for at least 12 months, incident physician based diagnosis of diabetes, T2DM reported as a separate outcome rather than combined with impaired fasting glucose or impaired glucose tolerance, and studies with both a group of patients with GDM and a control group. Results This meta-analysis of 20 studies assessed a total of 1 332 373 individuals (67 956 women with GDM and 1 264 417 controls). Data were pooled by random effects meta-analysis models, and heterogeneity was assessed by use of the I 2 statistic. The pooled relative risk for the incidence of T2DM between participants with GDM and controls was…
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Kawasaki-like multisystem inflammatory syndrome in children during the covid-19 pandemic in Paris, France: prospective observational study
Julie Toubiana, Clément Poirault, Alice Corsia, Fanny Bajolle, Jacques Fourgeaud and 10 more
1,143 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m2094OpenAlex
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OBJECTIVES: To describe the characteristics of children and adolescents affected by an outbreak of Kawasaki-like multisystem inflammatory syndrome and to evaluate a potential temporal association with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. DESIGN: Prospective observational study. SETTING: General paediatric department of a university hospital in Paris, France. PARTICIPANTS: 21 children and adolescents (aged ≤18 years) with features of Kawasaki disease who were admitted to hospital between 27 April and 11 May 2020 and followed up until discharge by 15 May 2020. MAIN OUTCOME MEASURES: The primary outcomes were clinical and biological data, imaging and echocardiographic findings, treatment, and outcomes. Nasopharyngeal swabs were prospectively tested for SARS-CoV-2 using reverse transcription-polymerase chain reaction (RT-PCR) and blood samples were tested for IgG antibodies to the virus. RESULTS: 21 children and adolescents (median age 7.9 (range 3.7-16.6) years) were admitted with features of Kawasaki disease over a 15 day period, with 12 (57%) of…
- 20top 1%
Hydroxychloroquine in patients with mainly mild to moderate coronavirus disease 2019: open label, randomised controlled trial
Wei Tang, Zhujun Cao, Mingfeng Han, Zhengyan Wang, Junwen Chen and 19 more
1,135 citationsOpen access (CC-BY)doi:10.1136/bmj.m1849OpenAlex
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Abstract Objective To assess the efficacy and safety of hydroxychloroquine plus standard of care compared with standard of care alone in adults with coronavirus disease 2019 (covid-19). Design Multicentre, open label, randomised controlled trial. Setting 16 government designated covid-19 treatment centres in China, 11 to 29 February 2020. Participants 150 patients admitted to hospital with laboratory confirmed covid-19 were included in the intention to treat analysis (75 patients assigned to hydroxychloroquine plus standard of care, 75 to standard of care alone). Interventions Hydroxychloroquine administrated at a loading dose of 1200 mg daily for three days followed by a maintenance dose of 800 mg daily (total treatment duration: two or three weeks for patients with mild to moderate or severe disease, respectively). Main outcome measure Negative conversion of severe acute respiratory syndrome coronavirus 2 by 28 days, analysed according to the intention to treat principle. Adverse events were analysed in the safety population in which hydroxychloroquine recipients were participants…
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Mitigating the wider health effects of covid-19 pandemic response
M. Joanne Douglas, Srinivasa Vittal Katikireddi, Martin Taulbut, Martin McKee, Gerry McCartney
1,104 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m1557OpenAlex
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Countries worldwide have implemented strict controls on movement in response to the covid-19 pandemic. The aim is to cut transmission by reducing close contact (box 1), but the measures have profound consequences. Several sectors are seeing steep reductions in business, and there has been panic buying in shops. Social, economic, and health consequences are inevitable. Box 1 ### Social distancing measuresRETURN TO TEXT The health benefits of social distancing measures are obvious, with a slower spread of infection reducing the risk that health services will be overwhelmed. But they may also prolong the pandemic and the restrictions adopted to mitigate it.1 Policy makers need to balance these considerations while paying attention to broader effects on health and health equity. Several groups may be particularly vulnerable to the effects of both the pandemic and the social distancing measures (box 2). Table 1 summarises several mechanisms through which the pandemic response is likely to affect health: economic effects, social isolation, family relationships, health related behaviours,…
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Occurrence, prevention, and management of the psychological effects of emerging virus outbreaks on healthcare workers: rapid review and meta-analysis
Steve R Kisely, Nicola Warren, Laura McMahon, Christine Dalais, Irene Henry and 1 more
1,057 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m1642OpenAlex
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OBJECTIVE: To examine the psychological effects on clinicians of working to manage novel viral outbreaks, and successful measures to manage stress and psychological distress. DESIGN: Rapid review and meta-analysis. DATA SOURCES: Cochrane Central Register of Controlled Trials, PubMed/Medline, PsycInfo, Scopus, Web of Science, Embase, and Google Scholar, searched up to late March 2020. ELIGIBILITY CRITERIA FOR STUDY SELECTION: Any study that described the psychological reactions of healthcare staff working with patients in an outbreak of any emerging virus in any clinical setting, irrespective of any comparison with other clinicians or the general population. RESULTS: 59 papers met the inclusion criteria: 37 were of severe acute respiratory syndrome (SARS), eight of coronavirus disease 2019 (covid-19), seven of Middle East respiratory syndrome (MERS), three each of Ebola virus disease and influenza A virus subtype H1N1, and one of influenza A virus subtype H7N9. Of the 38 studies that compared psychological outcomes of healthcare workers in direct contact with affected patients, 25…
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A living WHO guideline on drugs for covid-19 (2020-2023)
Arnav Agarwal, Beverley Jane Hunt, Miriam Songa Stegemann, Bram N. Rochwerg, François Lamontagne and 25 more
1,042 citationsOpen access (OTHER-OA)doi:10.1136/bmj.m3379OpenAlex
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Updates: This is the fourteenth version (thirteenth update) of the living guideline, replacing earlier versions (available as data supplements). New recommendations will be published as updates to this guideline. Clinical question: What is the role of drugs in the treatment of patients with covid-19? Context: The evidence base for therapeutics for covid-19 is evolving with numerous randomised controlled trials (RCTs) recently completed and underway. Emerging SARS-CoV-2 variants and subvariants are changing the role of therapeutics. What is new?: The guideline development group (GDG) defined 1.5% as a new threshold for an important reduction in risk of hospitalisation in patients with non-severe covid-19. Combined with updated baseline risk estimates, this resulted in stratification into patients at low, moderate, and high risk for hospitalisation. New recommendations were added for moderate risk of hospitalisation for nirmatrelvir/ritonavir, and for moderate and low risk of hospitalisation for molnupiravir and remdesivir. New pharmacokinetic evidence was included for…
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Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score
Stephen Richard Knight, Antonia Ying Wai Ho, Riinu Pius, Iain Edward Buchan, Gail Carson and 25 more
1,031 citationsOpen access (CC-BY)doi:10.1136/bmj.m3339OpenAlex
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Abstract Objective To develop and validate a pragmatic risk score to predict mortality in patients admitted to hospital with coronavirus disease 2019 (covid-19). Design Prospective observational cohort study. Setting International Severe Acute Respiratory and emerging Infections Consortium (ISARIC) World Health Organization (WHO) Clinical Characterisation Protocol UK (CCP-UK) study (performed by the ISARIC Coronavirus Clinical Characterisation Consortium—ISARIC-4C) in 260 hospitals across England, Scotland, and Wales. Model training was performed on a cohort of patients recruited between 6 February and 20 May 2020, with validation conducted on a second cohort of patients recruited after model development between 21 May and 29 June 2020 . Participants Adults (age ≥18 years) admitted to hospital with covid-19 at least four weeks before final data extraction. Main outcome measure In-hospital mortality. Results 35 463 patients were included in the derivation dataset (mortality rate 32.2%) and 22 361 in the validation dataset (mortality rate 30.1%). The final 4C Mortality Score included…
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The psychological effects of quarantining a city
Gideon James Rubin, Simon C. Wessely
995 citationsOpen accessdoi:10.1136/bmj.m313OpenAlex
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Whether the epidemiological benefits of mandatory mass quarantine outweigh the psychological costs is a judgement that should not be made lightly
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Accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression among pregnant and postpartum women: systematic review and meta-analysis of individual participant data
Brooke Levis, Zelalem Negeri, Ying Sun, Andrea Benedetti, Brett D. Thombs
920 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m4022OpenAlex
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OBJECTIVE: To evaluate the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression in pregnant and postpartum women. DESIGN: Individual participant data meta-analysis. DATA SOURCES: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, and Web of Science (from inception to 3 October 2018). ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Eligible datasets included EPDS scores and major depression classification based on validated diagnostic interviews. Bivariate random effects meta-analysis was used to estimate EPDS sensitivity and specificity compared with semi-structured, fully structured (Mini International Neuropsychiatric Interview (MINI) excluded), and MINI diagnostic interviews separately using individual participant data. One stage meta-regression was used to examine accuracy by reference standard categories and participant characteristics. RESULTS: Individual participant data were obtained from 58 of 83 eligible studies (70%; 15 557 of 22 788 eligible participants (68%), 2069 with major depression). Combined sensitivity and…
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Treatment of epithelial ovarian cancer
Lindsay M. Kuroki, Saketh R. Guntupalli
883 citationsOpen accessdoi:10.1136/bmj.m3773OpenAlex
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Ovarian cancer is the third most common gynecologic malignancy worldwide but accounts for the highest mortality rate among these cancers. A stepwise approach to assessment, diagnosis, and treatment is vital to appropriate management of this disease process. An integrated approach with gynecologic oncologists as well as medical oncologists, pathologists, and radiologists is of paramount importance to improving outcomes. Surgical cytoreduction to R0 is the mainstay of treatment, followed by adjuvant chemotherapy. Genetic testing for gene mutations that affect treatment is the standard of care for all women with epithelial ovarian cancer. Nearly all women will have a recurrence, and the treatment of recurrent ovarian cancer continues to be nuanced and requires extensive review of up to date modalities that balance efficacy with the patient's quality of life. Maintenance therapy with poly ADP-ribose polymerase inhibitors, bevacizumab, and/or drugs targeting homologous recombination deficiency is becoming more widely used in the treatment of ovarian cancer, and the advancement of…
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Drug treatments for covid-19: living systematic review and network meta-analysis
Reed Alexander Cunningham Siemieniuk, Jessica Julia Bartoszko, Dena Zeraatkar, Elena Kum, Anila Qasim and 25 more
847 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m2980OpenAlex
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OBJECTIVE: To compare the effects of treatments for coronavirus disease 2019 (covid-19). DESIGN: Living systematic review and network meta-analysis. DATA SOURCES: WHO covid-19 database, a comprehensive multilingual source of global covid-19 literature, up to 3 December 2021 and six additional Chinese databases up to 20 February 2021. Studies identified as of 1 December 2021 were included in the analysis. STUDY SELECTION: Randomised clinical trials in which people with suspected, probable, or confirmed covid-19 were randomised to drug treatment or to standard care or placebo. Pairs of reviewers independently screened potentially eligible articles. METHODS: After duplicate data abstraction, a bayesian network meta-analysis was conducted. Risk of bias of the included studies was assessed using a modification of the Cochrane risk of bias 2.0 tool, and the certainty of the evidence using the grading of recommendations assessment, development, and evaluation (GRADE) approach. For each outcome, interventions were classified in groups from the most to the least beneficial or harmful…
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Diagnostic accuracy of serological tests for covid-19: systematic review and meta-analysis
Mayara Lisboa Bastos, Gamuchirai Tavaziva, S.K. Abidi, Jonathon R. Campbell, Louis‐Patrick Haraoui and 8 more
832 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m2516OpenAlex
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OBJECTIVE: To determine the diagnostic accuracy of serological tests for coronavirus disease-2019 (covid-19). DESIGN: Systematic review and meta-analysis. DATA SOURCES: Medline, bioRxiv, and medRxiv from 1 January to 30 April 2020, using subject headings or subheadings combined with text words for the concepts of covid-19 and serological tests for covid-19. ELIGIBILITY CRITERIA AND DATA ANALYSIS: Eligible studies measured sensitivity or specificity, or both of a covid-19 serological test compared with a reference standard of viral culture or reverse transcriptase polymerase chain reaction. Studies were excluded with fewer than five participants or samples. Risk of bias was assessed using quality assessment of diagnostic accuracy studies 2 (QUADAS-2). Pooled sensitivity and specificity were estimated using random effects bivariate meta-analyses. MAIN OUTCOME MEASURES: The primary outcome was overall sensitivity and specificity, stratified by method of serological testing (enzyme linked immunosorbent assays (ELISAs), lateral flow immunoassays (LFIAs), or chemiluminescent immunoassays…
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Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series
Michael Argenziano, Samuel L. Bruce, Cody L Slater, Jonathan R. Tiao, Matthew R. Baldwin and 25 more
792 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m1996OpenAlex
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OBJECTIVE: To characterize patients with coronavirus disease 2019 (covid-19) in a large New York City medical center and describe their clinical course across the emergency department, hospital wards, and intensive care units. DESIGN: Retrospective manual medical record review. SETTING: NewYork-Presbyterian/Columbia University Irving Medical Center, a quaternary care academic medical center in New York City. PARTICIPANTS: The first 1000 consecutive patients with a positive result on the reverse transcriptase polymerase chain reaction assay for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) who presented to the emergency department or were admitted to hospital between 1 March and 5 April 2020. Patient data were manually abstracted from electronic medical records. MAIN OUTCOME MEASURES: Characterization of patients, including demographics, presenting symptoms, comorbidities on presentation, hospital course, time to intubation, complications, mortality, and disposition. RESULTS: Of the first 1000 patients, 150 presented to the emergency department, 614 were admitted to…
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Association between prediabetes and risk of all cause mortality and cardiovascular disease: updated meta-analysis
Xiaoyan Cai, Yunlong Zhang, Meijun Li, Jason H. Y. Wu, Linlin Mai and 4 more
748 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m2297OpenAlex
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OBJECTIVE: To evaluate the associations between prediabetes and the risk of all cause mortality and incident cardiovascular disease in the general population and in patients with a history of atherosclerotic cardiovascular disease. DESIGN: Updated meta-analysis. DATA SOURCES: Electronic databases (PubMed, Embase, and Google Scholar) up to 25 April 2020. REVIEW METHODS: Prospective cohort studies or post hoc analysis of clinical trials were included for analysis if they reported adjusted relative risks, odds ratios, or hazard ratios of all cause mortality or cardiovascular disease for prediabetes compared with normoglycaemia. Data were extracted independently by two investigators. Random effects models were used to calculate the relative risks and 95% confidence intervals. The primary outcomes were all cause mortality and composite cardiovascular disease. The secondary outcomes were the risk of coronary heart disease and stroke. RESULTS: A total of 129 studies were included, involving 10 069 955 individuals for analysis. In the general population, prediabetes was associated with an…
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Adversity in childhood is linked to mental and physical health throughout life
Charles A. Nelson, Zulfiqar Ahmed Bhutta, Nadine Burke Harris, Andrea Danese, Muthanna M. Samara
739 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m3048OpenAlex
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The prevalence of “toxic stress” and huge downstream consequences in disease, suffering, and financial costs make prevention and early intervention crucial, say Charles A Nelson and colleagues
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Virology, transmission, and pathogenesis of SARS-CoV-2
Müge Çevik, Krutika Kuppalli, Jason Kindrachuk, Malik J. S. Peiris
732 citationsOpen accessdoi:10.1136/bmj.m3862OpenAlex
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Convalescent plasma in the management of moderate covid-19 in adults in India: open label phase II multicentre randomised controlled trial (PLACID Trial)
Anup Agarwal, Aparna Mukherjee, Gunjan Kumar, Pranab Chatterjee, Tarun Bhatnagar and 2 more
718 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m3939OpenAlex
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OBJECTIVE: To investigate the effectiveness of using convalescent plasma to treat moderate coronavirus disease 2019 (covid-19) in adults in India. DESIGN: Open label, parallel arm, phase II, multicentre, randomised controlled trial. SETTING: 39 public and private hospitals across India. PARTICIPANTS: ) ratio between 200 mm Hg and 300 mm Hg or a respiratory rate of more than 24/min with oxygen saturation 93% or less on room air): 235 were assigned to convalescent plasma with best standard of care (intervention arm) and 229 to best standard of care only (control arm). INTERVENTIONS: Participants in the intervention arm received two doses of 200 mL convalescent plasma, transfused 24 hours apart. The presence and levels of neutralising antibodies were not measured a priori; stored samples were assayed at the end of the study. MAIN OUTCOME MEASURE: <100 mm Hg) or all cause mortality at 28 days post-enrolment. RESULTS: Progression to severe disease or all cause mortality at 28 days after enrolment occurred in 44 (19%) participants in the intervention arm and 41 (18%) in the control arm…
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Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist
Jean‐Paul Salameh, Patrick M. Bossuyt, Trevor Adam McGrath, Brett D. Thombs, Christopher Hyde and 17 more
716 citationsOpen accessdoi:10.1136/bmj.m2632OpenAlex
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Systematic reviews of diagnostic test accuracy (DTA) studies are fundamental to the decision making process in evidence based medicine. Although such studies are regarded as high level evidence, these reviews are not always reported completely and transparently. Suboptimal reporting of DTA systematic reviews compromises their validity and generalisability, and subsequently their value to key stakeholders. An extension of the PRISMA (preferred reporting items for systematic review and meta-analysis) statement was recently developed to improve the reporting quality of DTA systematic reviews. The PRISMA-DTA statement has 27 items, of which eight are unmodified from the original PRISMA statement. This article provides an explanation for the 19 new and modified items, along with their meaning and rationale. Examples of complete reporting are used for each item to illustrate best practices.
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Interpreting a covid-19 test result
Jessica Watson, Penny F. Whiting, John E. Brush
712 citationsOpen accessdoi:10.1136/bmj.m1808OpenAlex
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What you need to know• Interpreting the result of a test for covid-19 depends on two things: the accuracy of the test, and the pre-test probability or estimated risk of disease before testing • A positive RT-PCR test for covid-19 test has more weight than a negative test because of the test's high specificity but moderate sensitivity • A single negative covid-19 test should not be used as a rule-out in patients with strongly suggestive symptoms • Clinicians should share information with patients about the accuracy of covid-19 testsAcross the world there is a clamour for covid-19 testing, with Tedros Adhanom Ghebreyesus, director general of the World Health Organization, encouraging countries to "test, test, test." 1 The availability of the complete genome of covid-19 early in the epidemic facilitated development of tests to detect viral RNA. 2 Multiple assays with different gene targets have been developed using reverse transcriptase polymerase chain reaction (RT-PCR).3 These viral RNA tests use samples usually obtained from the respiratory tract by nasopharyngeal swab, to detect…
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Covid-19: a remote assessment in primary care
Trisha Greenhalgh, Gerald Choon‐Huat Koh, Josip Car
703 citationsOpen accessdoi:10.1136/bmj.m1182OpenAlex
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What you need to know• Most patients with covid-19 can be managed remotely with advice on symptomatic management and self isolation• Although such consultations can be done by telephone in many cases, video provides additional visual cues and therapeutic presence• Breathlessness is a concerning symptom, though there is currently no validated tool for assessing it remotely• Safety-netting advice is crucial because some patients deteriorate in week 2, most commonly with pneumonia
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Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension
Xiaoxuan Liu, Samantha Cruz Rivera, David Moher, Melanie Calvert, Alastair Keith Denniston
697 citationsOpen access (CC-BY)doi:10.1136/bmj.m3164OpenAlex
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The CONSORT 2010 (Consolidated Standards of Reporting Trials) statement provides minimum guidelines for reporting randomised trials. Its widespread use has been instrumental in ensuring transparency when evaluating new interventions. More recently, there has been a growing recognition that interventions involving artificial intelligence (AI) need to undergo rigorous, prospective evaluation to demonstrate impact on health outcomes.The CONSORT-AI extension is a new reporting guideline for clinical trials evaluating interventions with an AI component. It was developed in parallel with its companion statement for clinical trial protocols: SPIRIT-AI. Both guidelines were developed through a staged consensus process, involving a literature review and expert consultation to generate 29 candidate items, which were assessed by an international multi-stakeholder group in a two-stage Delphi survey (103 stakeholders), agreed on in a two-day consensus meeting (31 stakeholders) and refined through a checklist pilot (34 participants).The CONSORT-AI extension includes 14 new items, which were…
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Healthy lifestyle and life expectancy free of cancer, cardiovascular disease, and type 2 diabetes: prospective cohort study
Yanping Li, Josje D. Schoufour, Dong D. Wang, Klodian Dhana, An Pan and 13 more
666 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.l6669OpenAlex
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OBJECTIVE: To examine how a healthy lifestyle is related to life expectancy that is free from major chronic diseases. DESIGN: Prospective cohort study. SETTING AND PARTICIPANTS: The Nurses' Health Study (1980-2014; n=73 196) and the Health Professionals Follow-Up Study (1986-2014; n=38 366). MAIN EXPOSURES: Five low risk lifestyle factors: never smoking, body mass index 18.5-24.9, moderate to vigorous physical activity (≥30 minutes/day), moderate alcohol intake (women: 5-15 g/day; men 5-30 g/day), and a higher diet quality score (upper 40%). MAIN OUTCOME: Life expectancy free of diabetes, cardiovascular diseases, and cancer. RESULTS: The life expectancy free of diabetes, cardiovascular diseases, and cancer at age 50 was 23.7 years (95% confidence interval 22.6 to 24.7) for women who adopted no low risk lifestyle factors, in contrast to 34.4 years (33.1 to 35.5) for women who adopted four or five low risk factors. At age 50, the life expectancy free of any of these chronic diseases was 23.5 (22.3 to 24.7) years among men who adopted no low risk lifestyle factors and 31.1 (29.5 to…
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Global, regional, and national burden of neck pain in the general population, 1990-2017: systematic analysis of the Global Burden of Disease Study 2017
Saeid Safiri, Ali‐Asghar Kolahi, Damian G Hoy, Rachelle Buchbinder, Mohammad Alì Mansournia and 12 more
662 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m791OpenAlex
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OBJECTIVE: To use data from the Global Burden of Disease Study between 1990 and 2017 to report the rates and trends of point prevalence, annual incidence, and years lived with disability for neck pain in the general population of 195 countries. DESIGN: Systematic analysis. DATA SOURCE: Global Burden of Diseases, Injuries, and Risk Factors Study 2017. MAIN OUTCOME MEASURES: Numbers and age standardised rates per 100 000 population of neck pain point prevalence, annual incidence, and years lived with disability were compared across regions and countries by age, sex, and sociodemographic index. Estimates were reported with uncertainty intervals. RESULTS: Globally in 2017 the age standardised rates for point prevalence of neck pain per 100 000 population was 3551.1 (95% uncertainty interval 3139.5 to 3977.9), for incidence of neck pain per 100 000 population was 806.6 (713.7 to 912.5), and for years lived with disability from neck pain per 100 000 population was 352.0 (245.6 to 493.3). These estimates did not change significantly between 1990 and 2017. The global point prevalence of…
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Management of acute ischemic stroke
Michael Phipps, Carolyn A. Cronin
650 citationsdoi:10.1136/bmj.l6983OpenAlex
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Stroke is the leading cause of long term disability in developed countries and one of the top causes of mortality worldwide. The past decade has seen substantial advances in the diagnostic and treatment options available to minimize the impact of acute ischemic stroke. The key first step in stroke care is early identification of patients with stroke and triage to centers capable of delivering the appropriate treatment, as fast as possible. Here, we review the data supporting pre-hospital and emergency stroke care, including use of emergency medical services protocols for identification of patients with stroke, intravenous thrombolysis in acute ischemic stroke including updates to recommended patient eligibility criteria and treatment time windows, and advanced imaging techniques with automated interpretation to identify patients with large areas of brain at risk but without large completed infarcts who are likely to benefit from endovascular thrombectomy in extended time windows from symptom onset. We also review protocols for management of patient physiologic parameters to minimize…
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Clinical characteristics of children and young people admitted to hospital with covid-19 in United Kingdom: prospective multicentre observational cohort study
Olivia V. Swann, Karl A. Holden, Lance C. W. Turtle, Louisa Pollock, Cameron J Fairfield and 23 more
644 citationsOpen access (CC-BY)doi:10.1136/bmj.m3249OpenAlex
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Abstract Objective To characterise the clinical features of children and young people admitted to hospital with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in the UK, and explore factors associated with admission to critical care, mortality, and development of multisystem inflammatory syndrome in children and adolescents temporarily related to covid-19 (MIS-C). Design Prospective observational cohort study with rapid data gathering and near real time analysis. Setting 260 acute care hospitals in England, Wales, and Scotland between 17th January and 5 th June 2020, with a minimal follow-up time of two weeks (to 19 th June 2020). Participants 451 children and young people aged less than 19 years admitted to 116 hospitals and enrolled into the International Severe Acute Respiratory and emergency Infections Consortium (ISARIC) WHO Clinical Characterisation Protocol UK study with laboratory-confirmed SARS-CoV-2. Main Outcome Measures Admission to critical care (high dependency or intensive care), in-hospital mortality, or meeting the WHO…
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Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis
George David Batty, Catharine R. Galé, Mika Kivimaki B, Ian J. Deary, Steven Bell
635 citationsOpen access (CC-BY)doi:10.1136/bmj.m131OpenAlex
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OBJECTIVE: To compare established associations between risk factors and mortality in UK Biobank, a study with an exceptionally low rate of response to its baseline survey, against those from representative studies that have conventional response rates. DESIGN: Prospective cohort study alongside individual participant meta-analysis of other cohort studies. SETTING: United Kingdom. PARTICIPANTS: Analytical sample of 499 701 people (response rate 5.5%) in analyses in UK Biobank; pooled data from the Health Surveys for England (HSE) and the Scottish Health Surveys (SHS), including 18 studies and 89 895 people (mean response rate 68%). Both study populations were linked to the same nationwide mortality registries, and the baseline age range was aligned at 40-69 years. MAIN OUTCOME MEASURE: Death from cardiovascular disease, selected malignancies, and suicide. To quantify the difference between hazard ratios in the two studies, a ratio of the hazard ratios was used with HSE-SHS as the referent. RESULTS: Risk factor levels and mortality rates were typically more favourable in UK Biobank…
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Face masks for the public during the covid-19 crisis
Trisha Greenhalgh, Manuel B Schmid, Thomas Czypionka, Dirk Bassler, Laurence Gruer
623 citationsOpen accessdoi:10.1136/bmj.m1435OpenAlex
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Trisha Greenhalgh and colleagues argue that it is time to apply the precautionary principle The precautionary principle is, according to Wikipedia, “a strategy for approaching issues of potential harm when extensive scientific knowledge on the matter is lacking.” The evidence base on the efficacy and acceptability of the different types of face mask in preventing respiratory infections during epidemics is sparse and contested.12 But covid-19 is a serious illness that currently has no known treatment or vaccine and is spreading in an immune naive population. Deaths are rising steeply, and health systems are under strain. This raises an ethical question: should policy makers apply the precautionary principle now and encourage people to wear face masks on the grounds that we have little to lose and potentially something to gain from this measure?3 We believe they should. Evidence based medicine tends to focus predominantly on internal validity—whether primary research studies were “done right”—using tools to assess risk of bias and adequacy of statistical analysis. External validity…
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Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study
British Medical Journal Publishing Group
623 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m1295OpenAlex
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Associations between high temperatures in pregnancy and risk of preterm birth, low birth weight, and stillbirths: systematic review and meta-analysis
Matthew Chersich, Minh Duc Pham, Ashtyn Tracey Areal, Marjan Mosalman Haghighi, Albert Edgar Manyuchi and 6 more
603 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m3811OpenAlex
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OBJECTIVE: To assess whether exposure to high temperatures in pregnancy is associated with increased risk for preterm birth, low birth weight, and stillbirth. DESIGN: Systematic review and random effects meta-analysis. DATA SOURCES: Medline and Web of Science searched up to September 2018, updated in August 2019. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Clinical studies on associations between high environmental temperatures, and preterm birth, birth weight, and stillbirths. RESULTS: 14 880 records and 175 full text articles were screened. 70 studies were included, set in 27 countries, seven of which were countries with low or middle income. In 40 of 47 studies, preterm births were more common at higher than lower temperatures. Exposures were classified as heatwaves, 1°C increments, and temperature threshold cutoff points. In random effects meta-analysis, odds of a preterm birth rose 1.05-fold (95% confidence interval 1.03 to 1.07) per 1°C increase in temperature and 1.16-fold (1.10 to 1.23) during heatwaves. Higher temperature was associated with reduced birth weight in 18 of 28…
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Physical distancing interventions and incidence of coronavirus disease 2019: natural experiment in 149 countries
Nazrul Islam, Stephen J. Sharp, Gerardo Chowell, Sharmin Shabnam, Ichiro I. Kawachi and 4 more
599 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m2743OpenAlex
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OBJECTIVE: To evaluate the association between physical distancing interventions and incidence of coronavirus disease 2019 (covid-19) globally. DESIGN: Natural experiment using interrupted time series analysis, with results synthesised using meta-analysis. SETTING: 149 countries or regions, with data on daily reported cases of covid-19 from the European Centre for Disease Prevention and Control and data on the physical distancing policies from the Oxford covid-19 Government Response Tracker. PARTICIPANTS: Individual countries or regions that implemented one of the five physical distancing interventions (closures of schools, workplaces, and public transport, restrictions on mass gatherings and public events, and restrictions on movement (lockdowns)) between 1 January and 30 May 2020. MAIN OUTCOME MEASURE: Incidence rate ratios (IRRs) of covid-19 before and after implementation of physical distancing interventions, estimated using data to 30 May 2020 or 30 days post-intervention, whichever occurred first. IRRs were synthesised across countries using random effects meta-analysis.…
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Clinical efficacy of hydroxychloroquine in patients with covid-19 pneumonia who require oxygen: observational comparative study using routine care data
Matthieu Mahévas, Viet-Thi Tran, Mathilde Roumier, Amélie Chabrol, Romain Paule and 25 more
565 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m1844OpenAlex
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OBJECTIVE: To assess the effectiveness of hydroxychloroquine in patients admitted to hospital with coronavirus disease 2019 (covid-19) pneumonia who require oxygen. DESIGN: Comparative observational study using data collected from routine care. SETTING: Four French tertiary care centres providing care to patients with covid-19 pneumonia between 12 March and 31 March 2020. PARTICIPANTS: 181 patients aged 18-80 years with documented severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia who required oxygen but not intensive care. INTERVENTIONS: Hydroxychloroquine at a dose of 600 mg/day within 48 hours of admission to hospital (treatment group) versus standard care without hydroxychloroquine (control group). MAIN OUTCOME MEASURES: The primary outcome was survival without transfer to the intensive care unit at day 21. Secondary outcomes were overall survival, survival without acute respiratory distress syndrome, weaning from oxygen, and discharge from hospital to home or rehabilitation (all at day 21). Analyses were adjusted for confounding factors by inverse…
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Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study
Ash Kieran Clift, Carol A. C. Coupland, Ruth H. Keogh, Karla Diaz‐Ordaz, Elizabeth Williamson and 18 more
540 citationsOpen access (CC-BY)doi:10.1136/bmj.m3731OpenAlex
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Abstract Objective To derive and validate a risk prediction algorithm to estimate hospital admission and mortality outcomes from coronavirus disease 2019 (covid-19) in adults. Design Population based cohort study. Setting and participants QResearch database, comprising 1205 general practices in England with linkage to covid-19 test results, Hospital Episode Statistics, and death registry data. 6.08 million adults aged 19-100 years were included in the derivation dataset and 2.17 million in the validation dataset. The derivation and first validation cohort period was 24 January 2020 to 30 April 2020. The second temporal validation cohort covered the period 1 May 2020 to 30 June 2020. Main outcome measures The primary outcome was time to death from covid-19, defined as death due to confirmed or suspected covid-19 as per the death certification or death occurring in a person with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in the period 24 January to 30 April 2020. The secondary outcome was time to hospital admission with confirmed SARS-CoV-2…
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Covid-19: What do we know about “long covid”?
Elisabeth Mahase
522 citationsdoi:10.1136/bmj.m2815OpenAlex
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As recognition grows that many patients have long lasting effects, Elisabeth Mahase examines the evidence and the response
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The healthiness and sustainability of national and global food based dietary guidelines: modelling study
Marco Springmann, Luke Spajic, Michael Clark, Joseph Poore, Anna Herforth and 3 more
520 citationsOpen access (CC-BY)doi:10.1136/bmj.m2322OpenAlex
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OBJECTIVE: To analyse the health and environmental implications of adopting national food based dietary guidelines (FBDGs) at a national level and compared with global health and environmental targets. DESIGN: Modelling study. SETTING: 85 countries. PARTICIPANTS: Population of 85 countries. MAIN OUTCOME MEASURES: A graded coding method was developed and used to extract quantitative recommendations from 85 FBDGs. The health and environmental impacts of these guidelines were assessed by using a comparative risk assessment of deaths from chronic diseases and a set of country specific environmental footprints for greenhouse gas emissions, freshwater use, cropland use, and fertiliser application. For comparison, the impacts of adopting the global dietary recommendations of the World Health Organization and the EAT-Lancet Commission on Healthy Diets from Sustainable Food Systems were also analysed. Each guideline's health and sustainability implications were assessed by modelling its adoption at both the national level and globally, and comparing the impacts to global health and…
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Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness
Sebastian J. Vollmer, Bilal Akhter Mateen, Gergő Bohner, Franz J. Király, Rayid Ghani and 13 more
503 citationsOpen access (CC-BY)doi:10.1136/bmj.l6927OpenAlex
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Machine learning, artificial intelligence, and other modern statistical methods are providing new opportunities to operationalise previously untapped and rapidly growing sources of data for patient benefit. Despite much promising research currently being undertaken, particularly in imaging, the literature as a whole lacks transparency, clear reporting to facilitate replicability, exploration for potential ethical concerns, and clear demonstrations of effectiveness. Among the many reasons why these problems exist, one of the most important (for which we provide a preliminary solution here) is the current lack of best practice guidance specific to machine learning and artificial intelligence. However, we believe that interdisciplinary groups pursuing research and impact projects involving machine learning and artificial intelligence for health would benefit from explicitly addressing a series of questions concerning transparency, reproducibility, ethics, and effectiveness (TREE). The 20 critical questions proposed here provide a framework for research groups to inform the design,…
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Food and mood: how do diet and nutrition affect mental wellbeing?
Joseph Firth, James E. Gangwisch, Alessandra Borsini, Robyn E. Wootton, Emeran A. Mayer
475 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m2382OpenAlex
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Poor nutrition may be a causal factor in the experience of low mood, and improving diet may help to protect not only the physical health but also the mental health of the population, say Joseph Firth and colleagues
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Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials
Janice L. Kwan, Lisha Lo, Jacob Ferguson, Hanna R. Goldberg, Juan Pablo Díaz-Martínez and 3 more
467 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m3216OpenAlex
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OBJECTIVE: To report the improvements achieved with clinical decision support systems and examine the heterogeneity from pooling effects across diverse clinical settings and intervention targets. DESIGN: Systematic review and meta-analysis. DATA SOURCES: Medline up to August 2019. ELIGIBILITY CRITERIA FOR SELECTING STUDIES AND METHODS: Randomised or quasi-randomised controlled trials reporting absolute improvements in the percentage of patients receiving care recommended by clinical decision support systems. Multilevel meta-analysis accounted for within study clustering. Meta-regression was used to assess the degree to which the features of clinical decision support systems and study characteristics reduced heterogeneity in effect sizes. Where reported, clinical endpoints were also captured. RESULTS: =76%), with the top quartile of reported improvements ranging from 10% to 62%. In 30 trials reporting clinical endpoints, clinical decision support systems increased the proportion of patients achieving guideline based targets (eg, blood pressure or lipid control) by a median of 0.3%…
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Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension
Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan, Alastair Keith Denniston, Melanie Calvert
461 citationsOpen access (CC-BY)doi:10.1136/bmj.m3210OpenAlex
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The SPIRIT 2013 (The Standard Protocol Items: Recommendations for Interventional Trials) statement aims to improve the completeness of clinical trial protocol reporting, by providing evidence-based recommendations for the minimum set of items to be addressed. This guidance has been instrumental in promoting transparent evaluation of new interventions. More recently, there is a growing recognition that interventions involving artificial intelligence need to undergo rigorous, prospective evaluation to demonstrate their impact on health outcomes.The SPIRIT-AI extension is a new reporting guideline for clinical trials protocols evaluating interventions with an AI component. It was developed in parallel with its companion statement for trial reports: CONSORT-AI. Both guidelines were developed using a staged consensus process, involving a literature review and expert consultation to generate 26 candidate items, which were consulted on by an international multi-stakeholder group in a 2-stage Delphi survey (103 stakeholders), agreed on in a consensus meeting (31 stakeholders) and refined…
- 56top 2.8%
Covid-19: how doctors and healthcare systems are tackling coronavirus worldwide
Janice Hopkins Tanne, Erika Hayasaki, Mark Zastrow, Priyanka Pulla, Paul Smith and 1 more
437 citationsdoi:10.1136/bmj.m1090OpenAlex
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As coronavirus continues to spread, doctors and healthcare systems are facing a multitude of challenges at all stages of the pandemic
- 57top 2.8%
Food is medicine: actions to integrate food and nutrition into healthcare
Sarah Downer, Seth A. Berkowitz, Timothy S. Harlan, Dana Lee Olstad, Dariush Mozaffarian
434 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m2482OpenAlex
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Sarah Downer and colleagues review new efforts to incorporate food and nutrition into prevention, management, and treatment of diet related disease in healthcare systems
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Comparison of dietary macronutrient patterns of 14 popular named dietary programmes for weight and cardiovascular risk factor reduction in adults: systematic review and network meta-analysis of randomised trials
Long Ge, Behnam Sadeghirad, Geoff D.C. Ball, Bruno R. da Costa, Christine L. Hitchcock and 15 more
426 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m696OpenAlex
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Abstract Objective To determine the relative effectiveness of dietary macronutrient patterns and popular named diet programmes for weight loss and cardiovascular risk factor improvement among adults who are overweight or obese. Design Systematic review and network meta-analysis of randomised trials. Data sources Medline, Embase, CINAHL, AMED, and CENTRAL from database inception until September 2018, reference lists of eligible trials, and related reviews. Study selection Randomised trials that enrolled adults (≥18 years) who were overweight (body mass index 25-29) or obese (≥30) to a popular named diet or an alternative diet. Outcomes and measures Change in body weight, low density lipoprotein (LDL) cholesterol, high density lipoprotein (HDL) cholesterol, systolic blood pressure, diastolic blood pressure, and C reactive protein at the six and 12 month follow-up. Review methods Two reviewers independently extracted data on study participants, interventions, and outcomes and assessed risk of bias, and the certainty of evidence using the GRADE (grading of recommendations, assessment,…
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Two metres or one: what is the evidence for physical distancing in covid-19?
Nicholas Robert Jones, Zeshan U. Qureshi, Robert J Temple, Jessica P. J. Larwood, Trisha Greenhalgh and 1 more
419 citationsOpen accessdoi:10.1136/bmj.m3223OpenAlex
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Rigid safe distancing rules are an oversimplification based on outdated science and experiences of past viruses, argue Nicholas R Jones and colleagues
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Association between the reproductive health of young women and cardiovascular disease in later life: umbrella review
Kelvin Okoth, Joht Singh Chandan, Tom P Marshall, Shakila Thangaratinam, G. Neil Thomas and 2 more
416 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m3502OpenAlex
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OBJECTIVE: To consolidate evidence from systematic reviews and meta-analyses investigating the association between reproductive factors in women of reproductive age and their subsequent risk of cardiovascular disease. DESIGN: Umbrella review. DATA SOURCES: Medline, Embase, and Cochrane databases for systematic reviews and meta-analyses from inception until 31 August 2019. REVIEW METHODS: Two independent reviewers undertook screening, data extraction, and quality appraisal. The population was women of reproductive age. Exposures were fertility related factors and adverse pregnancy outcomes. Outcome was cardiovascular diseases in women, including ischaemic heart disease, heart failure, peripheral arterial disease, and stroke. RESULTS: 32 reviews were included, evaluating multiple risk factors over an average follow-up period of 7-10 years. All except three reviews were of moderate quality. A narrative evidence synthesis with forest plots and tabular presentations was performed. Associations for composite cardiovascular disease were: twofold for pre-eclampsia, stillbirth, and preterm…
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Effect of dose and duration of reduction in dietary sodium on blood pressure levels: systematic review and meta-analysis of randomised trials
Liping Huang, Kathy Trieu, Sohei Yoshimura, Bruce Charles Neal, Mark Woodward and 7 more
407 citationsOpen access (CC-BY)doi:10.1136/bmj.m315OpenAlex
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OBJECTIVE: To examine the dose-response relation between reduction in dietary sodium and blood pressure change and to explore the impact of intervention duration. DESIGN: Systematic review and meta-analysis following PRISMA guidelines. DATA SOURCES: Ovid MEDLINE(R), EMBASE, and Cochrane Central Register of Controlled Trials (Wiley) and reference lists of relevant articles up to 21 January 2019. INCLUSION CRITERIA: Randomised trials comparing different levels of sodium intake undertaken among adult populations with estimates of intake made using 24 hour urinary sodium excretion. DATA EXTRACTION AND ANALYSIS: Two of three reviewers screened the records independently for eligibility. One reviewer extracted all data and the other two reviewed the data for accuracy. Reviewers performed random effects meta-analyses, subgroup analyses, and meta-regression. RESULTS: usual sodium) of 24 hour urinary sodium, systolic blood pressure (SBP), and diastolic blood pressure (DBP) were 130 mmol (95% confidence interval 115 to 145, P<0.001), 4.26 mm Hg (3.62 to 4.89, P<0.001), and 2.07 mm Hg (1.67 to…
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Chloroquine and hydroxychloroquine in covid-19
Robin Esmond Ferner, Jeffrey K Aronson
403 citationsOpen accessdoi:10.1136/bmj.m1432OpenAlex
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Use of these drugs is premature and potentially harmful
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Central fatness and risk of all cause mortality: systematic review and dose-response meta-analysis of 72 prospective cohort studies
Ahmad Jayedi, Sepideh Soltani, Mahdieh Sadat Zargar, Tauseef Ahmad Khan, Sakineh Shab‐Bidar
397 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m3324OpenAlex
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Abstract Objective To quantify the association of indices of central obesity, including waist circumference, hip circumference, thigh circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, with the risk of all cause mortality in the general population, and to clarify the shape of the dose-response relations. Design Systematic review and meta-analysis. Data sources PubMed and Scopus from inception to July 2019, and the reference lists of all related articles and reviews. Eligibility criteria for selecting studies Prospective cohort studies reporting the risk estimates of all cause mortality across at least three categories of indices of central fatness. Studies that reported continuous estimation of the associations were also included. Data synthesis A random effects dose-response meta-analysis was conducted to assess linear trend estimations. A one stage linear mixed effects meta-analysis was used for estimating dose-response curves. Results Of 98 745 studies screened, 1950 full texts were fully reviewed for…
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Recommended physical activity and all cause and cause specific mortality in US adults: prospective cohort study
Min Zhao, Sreenivas P. Veeranki, Costan G. Magnussen, Bo Xi
397 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m2031OpenAlex
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OBJECTIVE: To determine the association between recommended physical activity according to the 2018 physical activity guidelines for Americans and all cause and cause specific mortality using a nationally representative sample of US adults. DESIGN: Population based cohort study. SETTING: National Health Interview Survey (1997-2014) with linkage to the National Death Index records to 31 December 2015. PARTICIPANTS: 479 856 adults aged 18 years or older. EXPOSURES: Participant self-reports of the amount of leisure time spent in aerobic physical activity and muscle strengthening activity each week were combined and categorised into four groups: insufficient activity, aerobic activity only, muscle strengthening only, and both aerobic and muscle strengthening activities according to the physical activity guidelines. MAIN OUTCOME MEASURES: All cause mortality and cause specific mortality (cardiovascular disease, cancer, chronic lower respiratory tract diseases, accidents and injuries, Alzheimer's disease, diabetes mellitus, influenza and pneumonia, and nephritis, nephrotic syndrome, or…
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New advances in the diagnosis and management of hepatocellular carcinoma
Ju Dong Yang, Julie K. Heimbach
388 citationsdoi:10.1136/bmj.m3544OpenAlex
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Hepatocellular carcinoma is one of the leading causes of cancer related death in the world. Biannual surveillance for the disease in patients with cirrhosis and in high risk carriers of hepatitis B virus allows early stage cancer detection and treatment with good long term outcomes. Liver ultrasonography and serum α fetoprotein are the most commonly used surveillance tests. If suspicious results are found on the surveillance test, multiphasic computed tomography or magnetic resonance imaging should be undertaken to confirm the diagnosis of hepatocellular carcinoma. If radiologic tests show inconclusive results, liver biopsy or repeat imaging could be considered for confirmation of hepatocellular carcinoma. Management of the disease is complex. Patients should be evaluated by a multidisciplinary team, and the selection of treatment should consider factors such as tumor burden, severity of liver dysfunction, medical comorbidities, local expertise, and preference of patients. Early stage hepatocellular carcinoma is best managed by curative treatment, which includes resection, ablation,…
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Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology
Stephen Gerry, Timothy Bonnici, Jacqueline Birks, Shona Kirtley, Pradeep Singh Virdee and 2 more
385 citationsOpen access (CC-BY)doi:10.1136/bmj.m1501OpenAlex
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OBJECTIVE: To provide an overview and critical appraisal of early warning scores for adult hospital patients. DESIGN: Systematic review. DATA SOURCES: Medline, CINAHL, PsycInfo, and Embase until June 2019. ELIGIBILITY CRITERIA FOR STUDY SELECTION: Studies describing the development or external validation of an early warning score for adult hospital inpatients. RESULTS: 13 171 references were screened and 95 articles were included in the review. 11 studies were development only, 23 were development and external validation, and 61 were external validation only. Most early warning scores were developed for use in the United States (n=13/34, 38%) and the United Kingdom (n=10/34, 29%). Death was the most frequent prediction outcome for development studies (n=10/23, 44%) and validation studies (n=66/84, 79%), with different time horizons (the most frequent was 24 hours). The most common predictors were respiratory rate (n=30/34, 88%), heart rate (n=28/34, 83%), oxygen saturation, temperature, and systolic blood pressure (all n=24/34, 71%). Age (n=13/34, 38%) and sex (n=3/34, 9%) were less…
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Trends and risk factors of mortality and disability adjusted life years for chronic respiratory diseases from 1990 to 2017: systematic analysis for the Global Burden of Disease Study 2017
Xiaochen Li, Xiaopei Cao, Mingzhou Guo, Min Xie, Xiansheng Liu
374 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m234OpenAlex
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OBJECTIVE: To describe the temporal and spatial trends of mortality and disability adjusted life years (DALYs) due to chronic respiratory diseases, by age and sex, across the world during 1990-2017 using data from the Global Burden of Disease Study 2017. DESIGN: Systematic analysis. DATA SOURCE: The Global Burden of Diseases, Injuries, and Risk Factors Study 2017. METHODS: Mortality and DALYs from chronic respiratory diseases were estimated from the Global Burden of Disease Study 2017 using DisMod-MR 2.1, a Bayesian meta-regression tool. The estimated annual percentage change of the age standardised mortality rate was calculated using a generalised linear model with a Gaussian distribution. Mortality and DALYs were stratified according to the Socio-demographic index. The strength and direction of the association between the Socio-demographic index and mortality rate were measured using the Spearman rank order correlation. Risk factors for chronic respiratory diseases were analysed from exposure data. RESULTS: Between 1990 and 2017, the total number of deaths due to chronic…
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Dietary intake of total, animal, and plant proteins and risk of all cause, cardiovascular, and cancer mortality: systematic review and dose-response meta-analysis of prospective cohort studies
Sina Naghshi, Omid Sadeghi, Walter Churchill Willett, Ahmad Esmaillzadeh
371 citationsOpen access (CC-BY)doi:10.1136/bmj.m2412OpenAlex
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Abstract Objective To examine and quantify the potential dose-response relation between intake of total, animal, and plant protein and the risk of mortality from all causes, cardiovascular disease, and cancer. Design Systematic review and meta-analysis of prospective cohort studies. Data sources PubMed, Scopus, and ISI Web of Science until December 2019, and references of retrieved relevant articles. Study selection Prospective cohort studies that reported the risk estimates for all cause, cardiovascular, and cancer mortality in adults aged 18 or older. Data synthesis Random effects models were used to calculate pooled effect sizes and 95% confidence intervals for the highest versus lowest categories of protein intake and to incorporate variation between studies. Linear and non-linear dose-response analyses were done to evaluate the dose-response relations between protein intake and mortality. Results 32 prospective cohort studies were included in the systematic review and 31 in the meta-analysis. During the follow-up period of 3.5 to 32 years, 113 039 deaths (16 429 from…
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Advances in the diagnosis and management of IgG4 related disease
Marco Lanzillotta, Gaia Mancuso, Emanuel Della‐Torre
363 citationsdoi:10.1136/bmj.m1067OpenAlex
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IgG4 related disease was recognized as a unified disease entity only 15 years ago. Awareness of IgG4 related disease has increased worldwide since then, and specialists are now familiar with most of its clinical manifestations. Involvement of the pancreato-biliary tract, retroperitoneum/aorta, head and neck, and salivary glands are the most frequently observed disease phenotypes, differing in epidemiological features, serological findings, and prognostic outcomes. In view of this multifaceted presentation, IgG4 related disease represents a great mimicker of many neoplastic, inflammatory, and infectious conditions. Histopathology remains key to diagnosis because reliable biomarkers are lacking. Recently released classification criteria will be invaluable in improving early recognition of the disease. IgG4 related disease is highly treatable and responds promptly to glucocorticoids, but it can lead to end stage organ failure and even death if unrecognized. Prolonged courses of corticosteroids are often needed to maintain remission because the disease relapses in most patients. Rapid…
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Association between suicide reporting in the media and suicide: systematic review and meta-analysis
Thomas Niederkrotenthaler, Marlies Braun, Jane Pirkis, Benedikt Till, Steven John Stack and 8 more
363 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m575OpenAlex
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OBJECTIVE: To examine the association between reporting on suicides, especially deaths of celebrities by suicide, and subsequent suicides in the general population. DESIGN: Systematic review and meta-analysis. DATA SOURCES: PubMed/Medline, PsychInfo, Scopus, Web of Science, Embase, and Google Scholar, searched up to September 2019. REVIEW METHODS: Studies were included if they compared at least one time point before and one time point after media reports on suicide; follow-up was two months or less; the outcome was death by suicide; and the media reports were about non-fictional suicides. Data from studies adopting an interrupted time series design, or single or multiple arm before and after comparisons, were reviewed. RESULTS: 31 studies were identified and analysed, and 20 studies at moderate risk of bias were included in the main analyses. The risk of suicide increased by 13% in the period after the media reported a death of a celebrity by suicide (rate ratio 1.13, 95% confidence interval 1.08 to 1.18; 14 studies; median follow-up 28 days, range 7-60 days). When the suicide…
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Risk of hospital admission with coronavirus disease 2019 in healthcare workers and their households: nationwide linkage cohort study
Anoop S.V. Shah, Rachael Wood, Ciara Gribben, D Caldwell, J Bishop and 12 more
351 citationsOpen access (CC-BY)doi:10.1136/bmj.m3582OpenAlex
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OBJECTIVE: To assess the risk of hospital admission for coronavirus disease 2019 (covid-19) among patient facing and non-patient facing healthcare workers and their household members. DESIGN: Nationwide linkage cohort study. SETTING: Scotland, UK, 1 March to 6 June 2020. PARTICIPANTS: Healthcare workers aged 18-65 years, their households, and other members of the general population. MAIN OUTCOME MEASURE: Admission to hospital with covid-19. RESULTS: The cohort comprised 158 445 healthcare workers, most of them (90 733; 57.3%) being patient facing, and 229 905 household members. Of all hospital admissions for covid-19 in the working age population (18-65 year olds), 17.2% (360/2097) were in healthcare workers or their households. After adjustment for age, sex, ethnicity, socioeconomic deprivation, and comorbidity, the risk of admission due to covid-19 in non-patient facing healthcare workers and their households was similar to the risk in the general population (hazard ratio 0.81 (95% confidence interval 0.52 to 1.26) and 0.86 (0.49 to 1.51), respectively). In models adjusting for…
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Social distancing in covid-19: what are the mental health implications?
Ashwin Venkatesh, Shantal Edirappuli
341 citationsdoi:10.1136/bmj.m1379OpenAlex
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As of 1 April 2020, there have been 29 474 confirmed cases of covid-19 in the UK.1 As discussed by Mahase, the UK government has enforced “social distancing” measures to curb transmission, protect the vulnerable, and prevent saturation of the NHS.2 Social distancing has potential mental health implications—how can we mitigate these to bolster this essential …
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Use of genetic variation to separate the effects of early and later life adiposity on disease risk: mendelian randomisation study
Tom G. Richardson, Eleanor C. M. Sanderson, Benjamin Elsworth, Kate M. Tilling, George Davey Smith
321 citationsOpen access (CC-BY)doi:10.1136/bmj.m1203OpenAlex
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OBJECTIVE: To evaluate whether body size in early life has an independent effect on risk of disease in later life or whether its influence is mediated by body size in adulthood. DESIGN: Two sample univariable and multivariable mendelian randomisation. SETTING: The UK Biobank prospective cohort study and four large scale genome-wide association studies (GWAS) consortiums. PARTICIPANTS: 453 169 participants enrolled in UK Biobank and a combined total of more than 700 000 people from different GWAS consortiums. EXPOSURES: Measured body mass index during adulthood (mean age 56.5) and self-reported perceived body size at age 10. MAIN OUTCOME MEASURES: Coronary artery disease, type 2 diabetes, breast cancer, and prostate cancer. RESULTS: Having a larger genetically predicted body size in early life was associated with an increased odds of coronary artery disease (odds ratio 1.49 for each change in body size category unless stated otherwise, 95% confidence interval 1.33 to 1.68) and type 2 diabetes (2.32, 1.76 to 3.05) based on univariable mendelian randomisation analyses. However, little…
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GRADE approach to drawing conclusions from a network meta-analysis using a minimally contextualised framework
Romina Brignardello‐Petersen, Iván D. Flórez, Ariel Izcovich, Nancy A. Santesso, Glen Stewart Hazlewood and 5 more
320 citationsOpen accessdoi:10.1136/bmj.m3900OpenAlex
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This article describes GRADE (grading of recommendations assessment, development and evaluation) guidance on how to draw conclusions from a network meta-analysis of interventions that includes individual randomised controlled trials addressing a single outcome. The guidance uses a minimally contextualised approach that avoids value judgments regarding the magnitude of intervention effects. The framework is based on two principles: interventions should be grouped in categories, from the most to the least effective or harmful; and the judgments that place interventions in such categories should simultaneously consider the estimates of effect, the certainty of the evidence, and the rankings. The framework includes five steps, which we describe and illustrate using an example. The framework is simple, methodologically sound, and flexible, allowing for modifications to resolve situations in which additional complexity or value judgments might be appropriate.
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Impact of blinding on estimated treatment effects in randomised clinical trials: meta-epidemiological study
Helene Moustgaard, Gemma Clayton, Hayley E. Jones, Isabelle Boutron, Lars Jørgensen and 8 more
300 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.l6802OpenAlex
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OBJECTIVES: To study the impact of blinding on estimated treatment effects, and their variation between trials; differentiating between blinding of patients, healthcare providers, and observers; detection bias and performance bias; and types of outcome (the MetaBLIND study). DESIGN: Meta-epidemiological study. DATA SOURCE: Cochrane Database of Systematic Reviews (2013-14). ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Meta-analyses with both blinded and non-blinded trials on any topic. REVIEW METHODS: Blinding status was retrieved from trial publications and authors, and results retrieved automatically from the Cochrane Database of Systematic Reviews. Bayesian hierarchical models estimated the average ratio of odds ratios (ROR), and estimated the increases in heterogeneity between trials, for non-blinded trials (or of unclear status) versus blinded trials. Secondary analyses adjusted for adequacy of concealment of allocation, attrition, and trial size, and explored the association between outcome subjectivity (high, moderate, low) and average bias. An ROR lower than 1 indicated…
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Use of personal protective equipment against coronavirus disease 2019 by healthcare professionals in Wuhan, China: cross sectional study
Min Liu, Shouzhen Cheng, XU Ke-wei, Yang Yang, Qingtang Zhu and 13 more
294 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m2195OpenAlex
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OBJECTIVE: To examine the protective effects of appropriate personal protective equipment for frontline healthcare professionals who provided care for patients with coronavirus disease 2019 (covid-19). DESIGN: Cross sectional study. SETTING: Four hospitals in Wuhan, China. PARTICIPANTS: 420 healthcare professionals (116 doctors and 304 nurses) who were deployed to Wuhan by two affiliated hospitals of Sun Yat-sen University and Nanfang Hospital of Southern Medical University for 6-8 weeks from 24 January to 7 April 2020. These study participants were provided with appropriate personal protective equipment to deliver healthcare to patients admitted to hospital with covid-19 and were involved in aerosol generating procedures. 77 healthcare professionals with no exposure history to covid-19 and 80 patients who had recovered from covid-19 were recruited to verify the accuracy of antibody testing. MAIN OUTCOME MEASURES: Covid-19 related symptoms (fever, cough, and dyspnoea) and evidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, defined as a positive test…
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Long term survival and local control outcomes from single dose targeted intraoperative radiotherapy during lumpectomy (TARGIT-IORT) for early breast cancer: TARGIT-A randomised clinical trial
Jayant Sharad Vaidya, Max Kishor Bulsara, Michael Baum, Frederik K. Wenz, Samuele Massarut and 25 more
291 citationsOpen access (CC-BY)doi:10.1136/bmj.m2836OpenAlex
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OBJECTIVE: To determine whether risk adapted intraoperative radiotherapy, delivered as a single dose during lumpectomy, can effectively replace postoperative whole breast external beam radiotherapy for early breast cancer. DESIGN: Prospective, open label, randomised controlled clinical trial. SETTING: 32 centres in 10 countries in the United Kingdom, Europe, Australia, the United States, and Canada. PARTICIPANTS: 2298 women aged 45 years and older with invasive ductal carcinoma up to 3.5 cm in size, cN0-N1, eligible for breast conservation and randomised before lumpectomy (1:1 ratio, blocks stratified by centre) to either risk adapted targeted intraoperative radiotherapy (TARGIT-IORT) or external beam radiotherapy (EBRT). INTERVENTIONS: Random allocation was to the EBRT arm, which consisted of a standard daily fractionated course (three to six weeks) of whole breast radiotherapy, or the TARGIT-IORT arm. TARGIT-IORT was given immediately after lumpectomy under the same anaesthetic and was the only radiotherapy for most patients (around 80%). TARGIT-IORT was supplemented by EBRT when…
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Italian doctors call for protecting healthcare workers and boosting community surveillance during covid-19 outbreak
Filippo Anelli, Giovanni Leoni, Roberto Monaco, Cosimo Nume, Roberto Carlo Rossi and 10 more
287 citationsOpen accessdoi:10.1136/bmj.m1254OpenAlex
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Italy is in a dramatic situation owing to the spread of covid-19,1 but we could do more to protect medical doctors and all hospital workers, including nurses, therapists, technicians, and support staff. Beyond the personal risks that doctors and healthcare workers are facing directly—highlighted by the death of general practitioner and national delegate for continuous medical education Roberto Stella in Varese—hospitals and medical personnel are a potential vehicle for spread of covid-19.2 The New England Journal of Medicine has reported on the huge proportion of infected …
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How covid-19 is accelerating the threat of antimicrobial resistance
Jeremy Hsu
285 citationsdoi:10.1136/bmj.m1983OpenAlex
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Healthcare responses to the novel coronavirus may be hastening another long looming public health threat, writes Jeremy Hsu
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Trends in suicide during the covid-19 pandemic
Ann Mary John, Jane Pirkis, David Gunnell, Louis Appleby, Jacqui Morrissey
274 citationsOpen accessdoi:10.1136/bmj.m4352OpenAlex
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Prevention must be prioritised while we wait for a clearer picture
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Clinical features of covid-19
Pauline Vetter, Diem‐Lan Vu, Arnaud Grégoire L’Huillier, Manuel Schibler, Laurent Kaiser and 1 more
264 citationsOpen access (CC-BY)doi:10.1136/bmj.m1470OpenAlex
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The wide array of symptoms has implications for the testing strategy
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Evaluating the credibility of anchor based estimates of minimal important differences for patient reported outcomes: instrument development and reliability study
Tahira Devji, Alonso Carrasco‐Labra, Anila Qasim, Mark Phillips, Bradley C. Johnston and 22 more
261 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m1714OpenAlex
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OBJECTIVE: To develop an instrument to evaluate the credibility of anchor based minimal important differences (MIDs) for outcome measures reported by patients, and to assess the reliability of the instrument. DESIGN: Instrument development and reliability study. DATA SOURCES: Initial criteria were developed for evaluating the credibility of anchor based MIDs based on a literature review (Medline, Embase, CINAHL, and PsycInfo databases) and the experience of the authors in the methodology for estimation of MIDs. Iterative discussions by the team and pilot testing with experts and potential users facilitated the development of the final instrument. PARTICIPANTS: With the newly developed instrument, pairs of masters, doctoral, or postdoctoral students with a background in health research methodology independently evaluated the credibility of a sample of MID estimates. MAIN OUTCOME MEASURES: Core credibility criteria applicable to all anchor types, additional criteria for transition rating anchors, and inter-rater reliability coefficients were determined. RESULTS: The credibility…
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Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies
Karoline Freeman, Jacqueline Dinnes, Naomi Chuchu, Yemisi Takwoingi, Susan E Bayliss and 5 more
260 citationsOpen access (CC-BY)doi:10.1136/bmj.m127OpenAlex
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OBJECTIVE: To examine the validity and findings of studies that examine the accuracy of algorithm based smartphone applications ("apps") to assess risk of skin cancer in suspicious skin lesions. DESIGN: Systematic review of diagnostic accuracy studies. DATA SOURCES: Cochrane Central Register of Controlled Trials, MEDLINE, Embase, CINAHL, CPCI, Zetoc, Science Citation Index, and online trial registers (from database inception to 10 April 2019). ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Studies of any design that evaluated algorithm based smartphone apps to assess images of skin lesions suspicious for skin cancer. Reference standards included histological diagnosis or follow-up, and expert recommendation for further investigation or intervention. Two authors independently extracted data and assessed validity using QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2 tool). Estimates of sensitivity and specificity were reported for each app. RESULTS: Nine studies that evaluated six different identifiable smartphone apps were included. Six verified results by using histology…
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Association between low density lipoprotein and all cause and cause specific mortality in Denmark: prospective cohort study
Camilla Ditlev Lindhardt Johannesen, Anne Langsted, Martin Bødtker Mortensen, Børge Grønne Nordestgaard
254 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m4266OpenAlex
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OBJECTIVE: To determine the association between levels of low density lipoprotein cholesterol (LDL-C) and all cause mortality, and the concentration of LDL-C associated with the lowest risk of all cause mortality in the general population. DESIGN: Prospective cohort study. SETTING: Denmark; the Copenhagen General Population Study recruited in 2003-15 with a median follow-up of 9.4 years. PARTICIPANTS: Individuals randomly selected from the national Danish Civil Registration System. MAIN OUTCOME MEASURES: Baseline levels of LDL-C associated with risk of mortality were evaluated on a continuous scale (restricted cubic splines) and by a priori defined centile categories with Cox proportional hazards regression models. Main outcome was all cause mortality. Secondary outcomes were cause specific mortality (cardiovascular, cancer, and other mortality). RESULTS: Among 108 243 individuals aged 20-100, 11 376 (10.5%) died during the study, at a median age of 81. The association between levels of LDL-C and the risk of all cause mortality was U shaped, with low and high levels associated with…
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Use of hormone replacement therapy and risk of breast cancer: nested case-control studies using the QResearch and CPRD databases
Yana Vinogradova, Carol A. C. Coupland, Julia Hippisley‐Cox
253 citationsOpen access (CC-BY)doi:10.1136/bmj.m3873OpenAlex
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OBJECTIVE: To assess the risks of breast cancer associated with different types and durations of hormone replacement therapy (HRT). DESIGN: Two nested case-control studies. SETTING: UK general practices contributing to QResearch or Clinical Practice Research Datalink (CPRD), linked to hospital, mortality, social deprivation, and cancer registry (QResearch only) data. PARTICIPANTS: 98 611 women aged 50-79 with a primary diagnosis of breast cancer between 1998 and 2018, matched by age, general practice, and index date to 457 498 female controls. MAIN OUTCOME MEASURES: Breast cancer diagnosis from general practice, mortality, hospital, or cancer registry records. Odds ratios for HRT types, adjusted for personal characteristics, smoking status, alcohol consumption, comorbidities, family history, and other prescribed drugs. Separate results from QResearch or CPRD were combined. RESULTS: Overall, 33 703 (34%) women with a diagnosis of breast cancer and 134 391 (31%) controls had used HRT prior to one year before the index date. Compared with never use, in recent users (<5 years) with long…
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Perioperative interventions for prevention of postoperative pulmonary complications: systematic review and meta-analysis
Peter M. Odor, Sohail Bampoe, David Gilhooly, Ben C. Creagh-Brown, Ramani Moonesinghe
251 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m540OpenAlex
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OBJECTIVE: To identify, appraise, and synthesise the best available evidence on the efficacy of perioperative interventions to reduce postoperative pulmonary complications (PPCs) in adult patients undergoing non-cardiac surgery. DESIGN: Systematic review and meta-analysis of randomised controlled trials. DATA SOURCES: Medline, Embase, CINHAL, and CENTRAL from January 1990 to December 2017. ELIGIBILITY CRITERIA: Randomised controlled trials investigating short term, protocolised medical interventions conducted before, during, or after non-cardiac surgery were included. Trials with clinical diagnostic criteria for PPC outcomes were included. Studies of surgical technique or physiological or biochemical outcomes were excluded. DATA EXTRACTION AND SYNTHESIS: Reviewers independently identified studies, extracted data, and assessed the quality of evidence. Meta-analyses were conducted to calculate risk ratios with 95% confidence intervals. Quality of evidence was summarised in accordance with GRADE methods. The primary outcome was the incidence of PPCs. Secondary outcomes were respiratory…
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Short term association between ozone and mortality: global two stage time series study in 406 locations in 20 countries
Ana Maria Vicedo-Cabrera, Francesco Sera, Cong Liu, Ben Armstrong, Ai Milojevic and 25 more
244 citationsOpen access (CC-BY)doi:10.1136/bmj.m108OpenAlex
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Abstract Objective To assess short term mortality risks and excess mortality associated with exposure to ozone in several cities worldwide. Design Two stage time series analysis. Setting 406 cities in 20 countries, with overlapping periods between 1985 and 2015, collected from the database of Multi-City Multi-Country Collaborative Research Network. Population Deaths for all causes or for external causes only registered in each city within the study period . Main outcome measures Daily total mortality (all or non-external causes only). Results A total of 45 165 171 deaths were analysed in the 406 cities. On average, a 10 µg/m 3 increase in ozone during the current and previous day was associated with an overall relative risk of mortality of 1.0018 (95% confidence interval 1.0012 to 1.0024). Some heterogeneity was found across countries, with estimates ranging from greater than 1.0020 in the United Kingdom, South Africa, Estonia, and Canada to less than 1.0008 in Mexico and Spain. Short term excess mortality in association with exposure to ozone higher than maximum background levels…
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Associations between stopping prescriptions for opioids, length of opioid treatment, and overdose or suicide deaths in US veterans: observational evaluation
Elizabeth M. Oliva, Thomas R. Bowe, Ajay Manhapra, Stefan G. Kertesz, Jennifer M. Hah and 6 more
242 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m283OpenAlex
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OBJECTIVE: To examine the associations between stopping treatment with opioids, length of treatment, and death from overdose or suicide in the Veterans Health Administration. DESIGN: Observational evaluation. SETTING: Veterans Health Administration. PARTICIPANTS: 1 394 102 patients in the Veterans Health Administration with an outpatient prescription for an opioid analgesic from fiscal year 2013 to the end of fiscal year 2014 (1 October 2012 to 30 September 2014). MAIN OUTCOME MEASURES: A multivariable Cox non-proportional hazards regression model examined death from overdose or suicide, with the interaction of time varying opioid cessation by length of treatment (≤30, 31-90, 91-400, and >400 days) as the main covariates. Stopping treatment with opioids was measured as the time when a patient was estimated to have no prescription for opioids, up to the end of the next fiscal year (2014) or the patient's death. RESULTS: 799 668) overall, and based on length of opioid treatment was 32.0% (≤30 days), 8.7% (31-90 days), 22.7% (91-400 days), and 36.6% (>400 days). The interaction between…
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Academic criteria for promotion and tenure in biomedical sciences faculties: cross sectional analysis of international sample of universities
Danielle Brittany Rice, Hana Raffoul, John P. A. Ioannidis, David Moher
241 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m2081OpenAlex
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OBJECTIVE: To determine the presence of a set of pre-specified traditional and non-traditional criteria used to assess scientists for promotion and tenure in faculties of biomedical sciences among universities worldwide. DESIGN: Cross sectional study. SETTING: International sample of universities. PARTICIPANTS: 170 randomly selected universities from the Leiden ranking of world universities list. MAIN OUTCOME MEASURE: Presence of five traditional (for example, number of publications) and seven non-traditional (for example, data sharing) criteria in guidelines for assessing assistant professors, associate professors, and professors and the granting of tenure in institutions with biomedical faculties. RESULTS: A total of 146 institutions had faculties of biomedical sciences, and 92 had eligible guidelines available for review. Traditional criteria of peer reviewed publications, authorship order, journal impact factor, grant funding, and national or international reputation were mentioned in 95% (n=87), 37% (34), 28% (26), 67% (62), and 48% (44) of the guidelines, respectively.…
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Diet, nutrition, and cancer risk: what do we know and what is the way forward?
Timothy J. Key, Kathryn Erica Bradbury, Aurora Perez‐Cornago, Rashmi R. Sinha, Konstantinos K. Tsilidis and 1 more
239 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m511OpenAlex
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Timothy J Key and colleagues describe the evidence linking diet and nutrition to cancer risk, concluding that obesity and alcohol are the most important factors
- 91top 4.4%
Hepatorenal syndrome: pathophysiology, diagnosis, and management
Douglas Alano Simonetto, Pere Ginès, Patrick S. Kamath
237 citationsOpen accessdoi:10.1136/bmj.m2687OpenAlex
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Hepatorenal syndrome (HRS), the extreme manifestation of renal impairment in patients with cirrhosis, is characterized by reduction in renal blood flow and glomerular filtration rate. Hepatorenal syndrome is diagnosed when kidney function is reduced but evidence of intrinsic kidney disease, such as hematuria, proteinuria, or abnormal kidney ultrasonography, is absent. Unlike other causes of acute kidney injury (AKI), hepatorenal syndrome results from functional changes in the renal circulation and is potentially reversible with liver transplantation or vasoconstrictor drugs. Two forms of hepatorenal syndrome are recognized depending on the acuity and progression of kidney injury. The first represents an acute impairment of kidney function, HRS-AKI, whereas the second represents a more chronic kidney dysfunction, HRS-CKD (chronic kidney disease). In this review, we provide critical insight into the definition, pathophysiology, diagnosis, and management of hepatorenal syndrome.
- 92top 4.5%
Pulmonary embolism: update on management and controversies
Lisa D. Duffett, Lana A. Castellucci, Melissa A. Forgie
235 citationsdoi:10.1136/bmj.m2177OpenAlex
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Pulmonary embolism is a common and potentially fatal cardiovascular disorder that must be promptly diagnosed and treated. The diagnosis, risk assessment, and management of pulmonary embolism have evolved with a better understanding of efficient use of diagnostic and therapeutic options. The use of either clinical probability adjusted or age adjusted D-dimer interpretation has led to a reduction in diagnostic imaging to exclude pulmonary embolism. Direct oral anticoagulation therapies are safe, effective, and convenient treatments for most patients with acute venous thromboembolism, with a lower risk of bleeding than vitamin K antagonists. These oral therapeutic options have opened up opportunities for safe outpatient management of pulmonary embolism in selected patients. Recent clinical trials exploring the use of systemic thrombolysis in intermediate to high risk pulmonary embolism suggest that this therapy should be reserved for patients with evidence of hemodynamic compromise. The role of low dose systemic or catheter directed thrombolysis in other patient subgroups is uncertain.…
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Association between high blood pressure and long term cardiovascular events in young adults: systematic review and meta-analysis
Dongling Luo, Yunjiu Cheng, Haifeng Zhang, Mingchuan Ba, Pengyuan Chen and 5 more
233 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m3222OpenAlex
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OBJECTIVE: To evaluate and quantify the future risk of cardiovascular events in young adults with high blood pressure. DESIGN: Systematic review and meta-analysis. DATA SOURCES: Medline, Embase, and Web of Science were searched from inception to 6 March 2020. Relative risks were pooled using a random effects model and expressed with 95% confidence intervals. Absolute risk difference was calculated. Dose-response relations between blood pressure and individual outcomes were assessed by a restricted cubic spline model. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Studies were selected that investigated the adverse outcomes of adults aged 18-45 with raised blood pressure. The primary study outcome was a composite of total cardiovascular events. Coronary heart disease, stroke, and all cause mortality were examined as secondary outcomes. RESULTS: Seventeen observational cohorts consisting of approximately 4.5 million young adults were included in the analysis. The average follow-up was 14.7 years. Young adults with normal blood pressure had increased risk of cardiovascular events compared…
- 94top 4.6%
Management of hypertriglyceridemia
Vinaya Simha
225 citationsdoi:10.1136/bmj.m3109OpenAlex
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Hypertriglyceridemia is one of the most common lipid abnormalities encountered in clinical practice. Many monogenic disorders causing severe hypertriglyceridemia have been identified, but in most patients triglyceride elevations result from a combination of multiple genetic variations with small effects and environmental factors. Common secondary causes include obesity, uncontrolled diabetes, alcohol misuse, and various commonly used drugs. Correcting these factors and optimizing lifestyle choices, including dietary modification, is important before starting drug treatment. The goal of drug treatment is to reduce the risk of pancreatitis in patients with severe hypertriglyceridemia and cardiovascular disease in those with moderate hypertriglyceridemia. This review discusses the various genetic and acquired causes of hypertriglyceridemia, as well as current management strategies. Evidence supporting the different drug and non-drug approaches to treating hypertriglyceridemia is examined, and an easy to adopt step-by-step management strategy is presented.
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Covid-19: FDA approves use of convalescent plasma to treat critically ill patients
Janice Hopkins Tanne
224 citationsdoi:10.1136/bmj.m1256OpenAlex
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Abstract Fosfomycin-tromethamine activity is well established for oral treatment of uncomplicated lower urinary tract infections but little is known about its potential efficacy in pyelonephritis. Ascending pyelonephritis was induced in mice infected with 6 strains of Escherichia coli (fosfomycin MICs: 1 μg/ml to 256 μg/ml). Urine pH was 4.5 before infection and 5.5-6.0 during infection. Animals were treated for 24h with fosfomycin (100 mg/kg subcutaneously every 4 hours) and CFU were enumerated in kidneys 24h after the last fosfomycin injection. Peak (20.5 μg/ml at 1h) and trough (3.5 μg/ml at 4h) levels in plasma were comparable to those obtained in human after an oral dose of 3 grams. Fosfomycin treatment significantly reduced bacterial loads in kidneys (3.65 log10CFU/g [min-max=1.83-7.03] and 1.88 log10CFU/g [1.78-5.74] in start-of-treatment control mice and treated mice, respectively, P < 10-6). However, this effect was not found to differ across the 6 study strains (P = 0.71) and between the 3 susceptible and the 3 resistant strains (P=0.09). Three phenomena may contribute to…
- 96top 4.7%
The role of chest radiography in confirming covid-19 pneumonia
Joanne Cleverley, James Piper, Melvyn Mark Jones
218 citationsOpen accessdoi:10.1136/bmj.m2426OpenAlex
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What you need to know• A normal chest radiograph does not exclude covid-19 pneumonia • No single feature of covid-19 pneumonia on a chest radiograph is specific or diagnostic, but a combination of multifocal peripheral lung changes of ground glass opacity and/or consolidation, which are most commonly bilateral, may be present • Diagnosis might be complicated as covid-19 pneumonia may or may not be visible on chest radiograph; consider other causes for patients' respiratory symptomsCovid-19 is likely to remain an important differential diagnosis for the foreseeable future in anyone presenting to hospital with a flu-like illness, lymphopenia on full blood count, and/or a change in normal sense of smell (anosmia) or taste. 1 2Most people with covid-19 infection do not develop pneumonia 3 ; however, chest radiography of people who are seriously ill with respiratory symptoms when they present to hospital can help to identify those with covid-19 pneumonia.In this article we offer advice to non-radiologists on how to look for changes on chest radiograph that may be suggestive of covid-19…
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Manual acupuncture versus sham acupuncture and usual care for prophylaxis of episodic migraine without aura: multicentre, randomised clinical trial
Shabei Xu, Lingling Yu, Xiang Luo, Minghuan Wang, Guohua Chen and 9 more
217 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m697OpenAlex
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Abstract Objective To assess the efficacy of manual acupuncture as prophylactic treatment for acupuncture naive patients with episodic migraine without aura. Design Multicentre, randomised, controlled clinical trial with blinded participants, outcome assessment, and statistician. Setting Seven hospitals in China, 5 June 2016 to 15 November 2018. Participants 150 acupuncture naive patients with episodic migraine without aura. Interventions 20 sessions of manual acupuncture at true acupuncture points plus usual care, 20 sessions of non-penetrating sham acupuncture at heterosegmental non-acupuncture points plus usual care, or usual care alone over 8 weeks. Main outcome measures Change in migraine days and migraine attacks per four weeks during weeks 1-20 after randomisation compared with baseline (four weeks before randomisation). Results Among 150 randomised patients (mean age 36.5 (SD 11.4) years; 123 (82%) women), 147 were included in the full analysis set. Compared with sham acupuncture, manual acupuncture resulted in a significantly greater reduction in migraine days at weeks 13…
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Incidence, clinical outcomes, and transmission dynamics of severe coronavirus disease 2019 in California and Washington: prospective cohort study
Joseph A. Lewnard, Vincent X. Liu, Michael L. Jackson, Mark A. Schmidt, Britta L. Jewell and 9 more
213 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m1923OpenAlex
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ABSTRACT Background The United States is now the country reporting the highest number of 2019 coronavirus disease (COVID-19) cases and deaths. However, little is known about the epidemiology and burden of severe COVID-19 to inform planning within healthcare systems and modeling of intervention impact. Methods We assessed incidence, duration of hospitalization, and clinical outcomes of acute COVID-19 inpatient admissions in a prospectively-followed cohort of 9,596,321 individuals enrolled in comprehensive, integrated healthcare delivery plans from Kaiser Permanente in California and Washington state. We also estimated the effective reproductive number ( R E ) describing transmission in the study populations. Results Data covered 1277 hospitalized patients with laboratory- or clinically-confirmed COVID-19 diagnosis by April 9, 2020. Cumulative incidence of first COVID-19 acute inpatient admission was 10.6-12.4 per 100,000 cohort members across the study regions. Mean censoring-adjusted duration of hospitalization was 10.7 days (2.5-97.5%iles: 0.8-30.1) among survivors and 13.7 days…
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Placebos in chronic pain: evidence, theory, ethics, and use in clinical practice
Ted Jack Kaptchuk, Christopher C. Hemond, Franklin G. Miller
208 citationsdoi:10.1136/bmj.m1668OpenAlex
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Despite their ubiquitous presence, placebos and placebo effects retain an ambiguous and unsettling presence in biomedicine. Specifically focused on chronic pain, this review examines the effect of placebo treatment under three distinct frameworks: double blind, deception, and open label honestly prescribed. These specific conditions do not necessarily differentially modify placebo outcomes. Psychological, clinical, and neurological theories of placebo effects are scrutinized. In chronic pain, conscious expectation does not reliably predict placebo effects. A supportive patient-physician relationship may enhance placebo effects. This review highlights "predictive coding" and "bayesian brain" as emerging models derived from computational neurobiology that offer a unified framework to explain the heterogeneous evidence on placebos. These models invert the dogma of the brain as a stimulus driven organ to one in which perception relies heavily on learnt, top down, cortical predictions to infer the source of incoming sensory data. In predictive coding/bayesian brain, both chronic pain…
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Opioid agonist treatment and risk of mortality during opioid overdose public health emergency: population based retrospective cohort study
Lindsay A Pearce, Jeong Eun Min, Micah Piske, Haoxuan Zhou, Fahmida Homayra and 4 more
208 citationsOpen access (CC-BY-NC)doi:10.1136/bmj.m772OpenAlex
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OBJECTIVE: To compare the risk of mortality among people with opioid use disorder on and off opioid agonist treatment (OAT) in a setting with a high prevalence of illicitly manufactured fentanyl and other potent synthetic opioids in the illicit drug supply. DESIGN: Population based retrospective cohort study. SETTING: Individual level linkage of five health administrative datasets capturing drug dispensations, hospital admissions, physician billing records, ambulatory care reports, and deaths in British Columbia, Canada. PARTICIPANTS: 55 347 people with opioid use disorder who received OAT between 1 January 1996 and 30 September 2018. MAIN OUTCOME MEASURES: All cause and cause specific crude mortality rates (per 1000 person years) to determine absolute risk of mortality and all cause age and sex standardised mortality ratios to determine relative risk of mortality compared with the general population. Mortality risk was calculated according to treatment status (on OAT, off OAT), time since starting and stopping treatment (1, 2, 3-4, 5-12, >12 weeks), and medication type (methadone,…
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The cohort is every article, review and book chapter OpenAlex attributes to BMJ with publication year 2020, excluding retracted works and paratext such as editorials and errata. The top 100 by citation count are listed; the percentile is the rank divided by the cohort size. 98 of the 100 entries have an abstract in OpenAlex. Counts were read on 29 October 2026 and will not be updated on this page, so a quoted rank stays verifiable. Full rules on the methodology page.
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