Healthcare delivery is being transformed by the rapid growth of data, advancements in artificial intelligence (AI) and other ...

Introduction: High-quality randomised controlled trials (RCTs) provide the most reliable evidence on the comparative efficacy of new medicines. However, non-randomised studies (NRS) are increasingly ...

BMJ Evidence-Based Medicine (BMJ EBM) publishes original evidence-based research, insights and opinions on what matters for health care. We focus on the tools, methods, and concepts that are basic and ...

Care happens in interaction between the patient and the clinician, in conversation where the patient and clinician uncover or develop a shared understanding of the problematic situation of the patient ...

WHAT IS ALREADY KNOWN ON THIS TOPIC Assessing risk of bias in the results of included studies of a systematic review is a key step in ensuring our confidence in the review’s findings. A new tool for ...

Objectives Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of medical research, but their improper use may result in plagiarism, academic fraud and unreliable ...

New government legislation is necessary to ensure full transparency of industry payments in the UK’s healthcare. A first step should involve challenging the industry-driven discourse that allows ...

Summary box Data transparency has become a well-established norm in biomedical research, and is especially important for broadly used public health interventions like COVID-19 vaccines. Tax payers ...

Objective To investigate the decisional impact of an age-based chart of kidney function decline to support general practitioners (GPs) to appropriately interpret estimated glomerular filtration rate ...

Background The comparative effectiveness of non-pharmacological treatments of depression remains unclear. Methods We conducted an overview of systematic reviews to identify randomised controlled ...

Objectives Despite rising rates of multimorbidity, existing risk assessment tools are mostly limited to a single outcome of interest. This study tests the feasibility of producing multiple disease ...

What it is Overdetection refers to the identification of abnormalities that were never going to cause harm, abnormalities that do not progress, that progress too slowly to cause symptoms or harm ...