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Assessing the robustness of results from clinical trials and meta-analyses with the fragility index.
Lin, Lifeng; Xing, Aiwen; Chu, Haitao; Murad, M Hassan; Xu, Chang; Baer, Benjamin R; Wells, Martin T; Sanchez-Ramos, Luis.
Afiliação
  • Lin L; Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ; Department of Statistics, Florida State University, Tallahassee, FL. Electronic address: lifenglin@arizona.edu.
  • Xing A; Department of Statistics, Florida State University, Tallahassee, FL.
  • Chu H; Statistical Research and Innovation, Global Biometrics and Data Management, Pfizer Inc, New York, NY; Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN.
  • Murad MH; Evidence-Based Practice Center, Mayo Clinic, Rochester, MN.
  • Xu C; Ministry of Education Key Laboratory for Population Health Across-Life Cycle & Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Anhui, China; School of Public Health, Anhui Medical University, Anhui, China.
  • Baer BR; Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY.
  • Wells MT; Department of Statistics and Data Science, Cornell University, Ithaca, NY.
  • Sanchez-Ramos L; Department of Obstetrics and Gynecology, College of Medicine, University of Florida, Jacksonville, FL.
Am J Obstet Gynecol ; 228(3): 276-282, 2023 03.
Article em En | MEDLINE | ID: mdl-36084702
ABSTRACT
The fragility index has been increasingly used to assess the robustness of the results of clinical trials since 2014. It aims at finding the smallest number of event changes that could alter originally statistically significant results. Despite its popularity, some researchers have expressed several concerns about the validity and usefulness of the fragility index. It offers a comprehensive review of the fragility index's rationale, calculation, software, and interpretation, with emphasis on application to studies in obstetrics and gynecology. This article presents the fragility index in the settings of individual clinical trials, standard pairwise meta-analyses, and network meta-analyses. Moreover, this article provides worked examples to demonstrate how the fragility index can be appropriately calculated and interpreted. In addition, the limitations of the traditional fragility index and some solutions proposed in the literature to address these limitations were reviewed. In summary, the fragility index is recommended to be used as a supplemental measure in the reporting of clinical trials and a tool to communicate the robustness of trial results to clinicians. Other considerations that can aid in the fragility index's interpretation include the loss to follow-up and the likelihood of data modifications that achieve the loss of statistical significance.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Probabilidade Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: Am J Obstet Gynecol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Probabilidade Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: Am J Obstet Gynecol Ano de publicação: 2023 Tipo de documento: Article