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How-To Create an Orthopaedic Systematic Review: A Step-by-Step Guide. Part III: Executing a Meta-Analysis.
Ng, Mitchell K; Magruder, Matthew L; Heckmann, Nathanael D; Delanois, Ronald E; Piuzzi, Nicolas S; Krebs, Viktor E; Mont, Michael A.
Afiliação
  • Ng MK; Department of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, New York.
  • Magruder ML; Department of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, New York.
  • Heckmann ND; Department of Orthopaedic Surgery, Keck School of Medicine of USC, Los Angeles, California.
  • Delanois RE; Rubin Institute for Advanced Orthopedics, Sinai Hospital of Baltimore, Baltimore, Maryland.
  • Piuzzi NS; Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
  • Krebs VE; Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
  • Mont MA; Rubin Institute for Advanced Orthopedics, Sinai Hospital of Baltimore, Baltimore, Maryland; Northwell Health Orthopaedics, Lenox Hill Hospital, New York, New York.
J Arthroplasty ; 39(9): 2383-2388, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38493965
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ortopedia / Metanálise como Assunto Limite: Humans Idioma: En Revista: J Arthroplasty / J. arthroplasty / Journal of arthroplasty Assunto da revista: ORTOPEDIA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ortopedia / Metanálise como Assunto Limite: Humans Idioma: En Revista: J Arthroplasty / J. arthroplasty / Journal of arthroplasty Assunto da revista: ORTOPEDIA Ano de publicação: 2024 Tipo de documento: Article