ebm.bmj14d
Opportunities, challenges and risks of using artificial intelligence for evidence synthesis
Artificial intelligence (AI) is developing rapidly. In particular, in the area of machine learning (ML), significant progress ...
ebm.bmj15d
Biomarkers and outcomes of COVID-19 hospitalisations: systematic review and meta-analysis
Correspondence to Dr Preeti Malik, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; pmalik.ma{at}gmail.com Objective To evaluate association between biomarkers and outcomes in ...
ebm.bmj15d
Unknowns of drug company payment disclosure: why the UK needs payment transparency legislation
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ebm.bmj19d
Cholesterol paradox: a correlate does not a surrogate make
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ebm.bmj20d
Exploring adaptive health technology assessment for evaluating 10 cancer interventions: insights and lessons from a pilot study in India
Background Health technology assessment (HTA) is a valuable tool for informing the efficient allocation of resources in healthcare. However, the resource-intensive nature of HTA can limit its ...
ebm.bmj25d
Genetic predisposition, modifiable lifestyles, and their joint effects on human lifespan: evidence from multiple cohort studies
8 The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, China Correspondence to Professor Xifeng Wu, Department of Big Data in Health Science, School of Public Health ...
ebm.bmj26d
Cross-sectional study of loss of life expectancy at different ages related to firearm deaths among black and white Americans
The burden of death due to firearms is an ongoing public health problem in the USA. US men had a 21% life expectancy loss due to firearms compared with men from other countries.1 In 2016, 7.8% of the ...
ebm.bmj29d
Gender and geographical bias in the editorial decision-making process of biomedical journals: a case-control study
Objectives To assess whether the gender (primary) and geographical affiliation (post-hoc) of the first and/or last authors are associated with publication decisions after peer review. Design ...
ebm.bmj1mon
From promise to practice: challenges and pitfalls in the evaluation of large language models for data extraction in evidence synthesis
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ebm.bmj1mon
Making care fit manifesto
Correspondence to Dr Marleen Kunneman, Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands; kunneman{at}lumc.nl For too many people, ...
ebm.bmj1mon
Clinical expertise in the era of evidence-based medicine and patient choice
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