This article provides updated guidance on methods for conducting rapid reviews of
effectiveness, targeted at Cochrane and other stakeholders interested in the methodology of …

Background Systematically screening published literature to determine the relevant
publications to synthesize in a review is a time-consuming and difficult task. Large language …

Abstract Machine learning and learning analytics are powerful tools that not only support
researchers in the detailed measurement and enhancement of learning processes in …

Systematic reviews and meta-analyses are crucial for advancing research, yet they are time-
consuming and resource-demanding. Although machine learning and natural language …

Objective Evidence-based medicine (EBM) is a decision-making process based on the
conscious and judicious use of the best available scientific evidence. However, the …

Large language models (LLMs) may facilitate and expedite systematic reviews, although the
approach to integrate LLMs in the review process is unclear. This study evaluates GPT-4 …

Systematic reviews are cumbersome yet essential to the epistemic process of medical
science. Finding significant reports, however, is a daunting task because the sheer volume …

Rapid review methodology aims to facilitate faster conduct of systematic reviews to meet the
needs of the decision‐maker, while also maintaining quality and credibility. This systematic …

Background Perioperative frailty is prevalent and requires complex management, which
could be guided by clinical practice guidelines (CPGs). The objective of this systematic …

Systematic approaches to evidence synthesis can improve the rigor, transparency, and
replicability of a literature review. However, these systematic approaches are resource …