批判性评价
系统回顾
医学
计算机科学
质量(理念)
梅德林
数据科学
重症监护医学
冲击系数
管理科学
荟萃分析
生活质量(医疗保健)
临床实习
医学物理学
系统误差
循证医学
风险因素
替代医学
作者
Michael L Henry,Neil E O’Connell,Rebecca Riley,Karel G. M. Moons,Beverley Shea,Lotty Hooft,Johanna A A Damen,Nicole Skoetz,Sarah B. Wallwork,G Lorimer Moseley
出处
期刊:
日期:2025-12-22
卷期号:391: e085718-e085718
被引量:1
标识
DOI:10.1136/bmj-2025-085718
摘要
The ability to predict the onset or natural history of an illness, or how people may respond to a treatment, guides clinical decision making. These predictions are commonly based on prognostic factors: clinical, patient, or societal variables that are identified as being predictive of a certain future outcome. Prognostic factor research has increased across fields, with a subsequent increase in the number of systematic reviews of prognostic factors studies. Understanding the quality of such prognostic factor reviews is essential for confidence in their findings, but there is no quality appraisal instrument to specifically assess systematic reviews of prognostic factor studies. A MeaSurement Tool to Assess systematic Reviews of Prognostic Factor studies, AMSTAR-PF, has been developed to fill this gap.
科研通智能强力驱动
Strongly Powered by AbleSci AI