An empirical comparison of three methods for multiple cutoff diagnostic test meta-analysis of the Patient Health Questionnaire-9 (PHQ-9) depression screening tool using published data vs individual level data [0.03%]
使用已发布的数据与个体水平数据对患者健康问卷-9(PHQ-9)抑郁筛查工具的三种多临界值诊断试验荟萃分析方法的经验比较研究
Andrea Benedetti,Brooke Levis,Gerta Rücker et al.
Andrea Benedetti et al.
Selective cutoff reporting in primary diagnostic accuracy studies with continuous or ordinal data may result in biased estimates when meta-analyzing studies. Collecting individual participant data (IPD) and estimating accuracy across all re...
Meta-Analysis
Research synthesis methods. 2020 Nov;11(6):833-848. DOI:10.1002/jrsm.1443 2020
Arielle Marks-Anglin,Yong Chen
Arielle Marks-Anglin
Publication bias is a well-known threat to the validity of meta-analyses and, more broadly, the reproducibility of scientific findings. When policies and recommendations are predicated on an incomplete evidence base, it undermines the goals...
How to decide whether a systematic review is stable and not in need of updating: Analysis of Cochrane reviews [0.03%]
如何判断系统评价是否稳定且不需要更新：Cochrane评价分析
Andrija Babić,Tina Poklepovic Pericic,Dawid Pieper et al.
Andrija Babić et al.
Background: It is challenging to keep systematic reviews (SR) current and updated. Cochrane designated some of its SRs as "stable," that is, not in need of updating. The issue of stabilizing an SR is an important in resea...
Response to: Goldberg et al "Who are the researchers? Where are the librarians?" [0.03%]
对《Goldberg等人的"研究者都是谁？馆员在哪里？"》一文的回应
Andrew Booth,Chris Cooper,Ruth Garside et al.
Andrew Booth et al.
Estimating the prevalence of missing experiments in a neuroimaging meta-analysis [0.03%]
在神经影像元分析中估算缺失实验的普遍程度
Pantelis Samartsidis,Silvia Montagna,Angela R Laird et al.
Pantelis Samartsidis et al.
Coordinate-based meta-analyses (CBMA) allow researchers to combine the results from multiple functional magnetic resonance imaging experiments with the goal of obtaining results that are more likely to generalize. However, the interpretatio...
Meta-Analysis
Research synthesis methods. 2020 Nov;11(6):866-883. DOI:10.1002/jrsm.1448 2020
Barriers and facilitators systematic reviews in health: A methodological review and recommendations for reviewers [0.03%]
健康领域系统评价中的促进因素和阻碍因素：方法学回顾及对撰写者的建议
Anders Malthe Bach-Mortensen,Ben Verboom
Anders Malthe Bach-Mortensen
Background: Systematic reviews cataloguing the barriers to and facilitators of various outcomes are increasingly popular, despite criticisms of this type of review on philosophical, methodological, and practical grounds. ...
Camiel H J van Zundert,Milica Miočević
Camiel H J van Zundert
Synthesizing findings about the indirect (mediated) effect plays an important role in determining the mechanism through which variables affect one another. This simulation study compared six methods for synthesizing indirect effects: correl...
Comparative Study
Research synthesis methods. 2020 Nov;11(6):849-865. DOI:10.1002/jrsm.1445 2020
IPDmada: An R Shiny tool for analyzing and visualizing individual patient data meta-analyses of diagnostic test accuracy [0.03%]
IPDmeta：用于分析和可视化诊断测试准确性的个体患者数据元分析的R Shiny工具
Junfeng Wang,Willem R Keusters,Lingzi Wen et al.
Junfeng Wang et al.
Background: Individual patient data meta-analyses (IPD-MA) are regarded as the gold standard for systematic reviews, which also applies to systematic reviews of diagnostic test accuracy (DTA) studies. An increasing number...
Lianne Siegel,M Hassan Murad,Haitao Chu
Lianne Siegel
Often clinicians are interested in determining whether a subject's measurement falls within a normal range, defined as a range of values of a continuous outcome which contains some proportion (eg, 95%) of measurements from a healthy populat...
Pedro R D Bom,Heiko Rachinger
Pedro R D Bom
Meta-studies are often conducted on empirical findings obtained from overlapping samples. Sample overlap is common in research fields that strongly rely on aggregated observational data (eg, economics and finance), where the same set of dat...
Meta-Analysis
Research synthesis methods. 2020 Nov;11(6):812-832. DOI:10.1002/jrsm.1441 2020