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Jay Pan and colleagues stress that reducing low-value medical services and enhancing healthcare quality must be an urgent priority in China; advancing the Choosing Wisely initiative represents a ...
Less is more for patients, practitioners, public and planet: a taxonomy for the harms of too much medicine ...
Correspondence to Dr David Nunan, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK; david.nunan{at}phc.ox.ac.uk Allocation bias can be defined as bias that ...
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Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether prompt engineering improves their accuracy and alignment with expert reasoning.
Objectives We undertook a rapid systematic review with the aim of identifying evidence that could be used to answer the following research questions: (1) What is the clinical effectiveness of tests ...
Correspondence to Dr Fares Alahdab, Mayo Clinic Minnesota, Rochester MN 55905, USA; alahdab.fares{at}mayo.edu, fares.alahdab{at}gmail.com A surprisingly huge proportion of medical research still shows ...
Dr Luijendijk1 has identified an elephant in the evidence-based medicine (EBM) classroom: patient, intervention, comparison, outcome (PICO acronym) for the formulation of clinical questions, teaching ...
Although it is well established that cigarette smoking is associated with morbidity and mortality in several respiratory infections, data from recent studies suggest that active smokers are ...
When analysing and presenting results of randomised clinical trials, trialists rarely report if or how underlying statistical assumptions were validated. To avoid data-driven biased trial results, it ...
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