Author:
Brush Parker L.,Sherman Matthew,Lambrechts Mark J.
Abstract
Meta-analyses represent the best available medical evidence. Although a powerful tool, they are not without criticisms since any bias in the original studies are then compounded when they are pooled together for the meta-analysis. Funnel plots provide a useful graphical representation of the presence of bias, and forest plots represent the heterogeneity of findings within studies included in a meta-analysis. The purpose of this review is to help readers interpret these statistical tools to better understand the findings of a meta-analysis.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Neurology (clinical),Orthopedics and Sports Medicine,Surgery
Reference12 articles.
1. Fixed or random effects meta-analysis? Common methodological issues in systematic reviews of effectiveness;Tufanaru;JBI Evid Implement,2015
2. Development and implementation of clinical practice guidelines: an update and synthesis of the literature with a focus in application to spinal conditions;Tetreault;Global Spine J,2019
3. Misleading meta-analysis;Egger;BMJ,1995
4. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews;Page;BMJ,2021
5. Publication bias in clinical trials due to statistical significance or direction of trial results;Hopewell;Cochrane Database Syst Rev,2009
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献