How-To Create an Orthopaedic Systematic Review: A Step-by-Step Guide. Part III: Executing a Meta-Analysis

被引:0
|
作者
Ng, Mitchell K. [1 ]
Magruder, Matthew L. [1 ]
Heckmann, Nathanael D. [2 ]
Delanois, Ronald E. [3 ]
Piuzzi, Nicolas S. [4 ]
Krebs, Viktor E. [4 ]
Mont, Michael A. [3 ,5 ]
机构
[1] Maimonides Hosp, Dept Orthopaed Surg, Brooklyn, NY USA
[2] Keck Sch Med USC, Dept Orthopaed Surg, Los Angeles, CA USA
[3] Sinai Hosp Baltimore, Rubin Inst Adv Orthoped, Baltimore, MD USA
[4] Cleveland Clin Fdn, Dept Orthopaed Surg, Cleveland, OH USA
[5] Lenox Hill Hosp, Northwell Hlth Orthopaed, New York, NY USA
来源
JOURNAL OF ARTHROPLASTY | 2024年 / 39卷 / 09期
关键词
arthroplasty research; systematic review; meta-analysis; clinical orthopedic research; study design; data analysis; TOTAL JOINT ARTHROPLASTY;
D O I
10.1016/j.arth.2024.03.026
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
At the top of the evidence-based pyramid, systematic reviews stand out as the most powerful, synthesizing findings from numerous primary studies. Specifically, a quantitative systematic review, known as a meta-analysis, combines results from various studies to address a specific research question. This review serves as a guide on how to: (1) design; (2) perform; and (3) publish an orthopedic arthroplasty systematic review. In Part III, we focus on how to design and perform a meta-analysis. We delineate the advantages and disadvantages of meta-analyses compared to systematic reviews, acknowledging their potential challenges due to time constraints and the complexities posed by study heterogeneity and data availability. Despite these obstacles, a well-executed meta-analysis contributes precision and heightened statistical power, standing at the apex of the evidence-based pyramid. The design of a meta-analysis closely mirrors that of a systematic review, but necessitates the inclusion of effect sizes, variability measures, sample sizes, outcome measures, and overall study characteristics. Effective data presentation involves the use of forest plots, along with analyses for heterogeneities and subgroups. Widely-used software tools are common in this domain, and there is a growing trend toward incorporating artificial intelligence software. Ultimately, the intention is for these papers to act as foundational resources for individuals interested in conducting systematic reviews and meta-analyses in the context of orthopaedic arthroplasty, where applicable. (c) 2024 Elsevier Inc. All rights reserved.
引用
收藏
页码:2383 / 2388
页数:6
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