Individual patient data meta-analyses using the raw data from primary diagnostic accuracy studies are taking hold in systematic reviews evaluating tests. Conventional reviews and meta-analyses that ...

Objective To determine the added diagnostic value of dipsticks for urinary tract infections (UTI) in acutely hospitalised individuals. Design Prospective population-based cohort study. Setting North ...

The introduction of generative large language models (LLMs) has led to the exploration of their use in evidence synthesis tasks, such as literature searches,1 screening,2 3 risk of bias assessment,4 5 ...

Focusing on a specific example from community care, this article argues that clinical guidelines will be better and more usable if they incorporate the findings of high-quality, qualitative research.

Objectives Endometrial cancer (EC) incidence has been rising globally, while mortality has remained stable, particularly in Nordic countries. This study aimed to explore the role of transvaginal ...

Published research should be reported to evidence users with clarity and transparency that facilitate optimal appraisal and use of evidence and allow replication by other researchers. Guidelines for ...

The international call to practice evidence-based medicine was first published in JAMA as part of the “Rational Clinical Examination Series” .1 Almost 10 years and a World Wide Web later, we now have ...

Commentary on : de Jong MJ, van der Meulen-de Jong AE, Romberg-Camps MJ, et al . Telemedicine for management of inflammatory bowel disease (myIBDcoach): a pragmatic, multicentre, randomised controlled ...

The increasing use of statistical modelling and lower certainty evidence to expand screening and the aggressive marketing of multicancer early detection tests raises questions about evidence ...

Clinical practice guidelines (CPGs) are ‘systematically developed statements to assist practitioner and patient decisions about appropriate healthcare for specific circumstances’.1 The implementation ...

Measuring clinician knowledge, understanding and attitudes to overdiagnosis are key to understanding the drivers of overdiagnosis, developing strategies to reduce overdiagnosis, and assessing the ...