Evidence map›Paper›PMID 36084702›Full record

ReviewAmerican journal of obstetrics and gynecology2023

Assessing the robustness of results from clinical trials and meta-analyses with the fragility index.

Lifeng Lin, Aiwen Xing, Haitao Chu, M Hassan Murad, Chang Xu, Benjamin R Baer, Martin T Wells, Luis Sanchez-Ramos

Abstract readReview
In one paragraph

Review in American journal of obstetrics and gynecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Fragility of Evidence for the Efficacy of Anti-Fracture Medications.The Journal of clinical endocrinology and metabolism · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Beyond the Fragility Index.Pharmaceutical statistics
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lifeng LinDepartment of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ; Department of Statistics, Florida State University, Tallahassee, FL. Electronic address: lifenglin@arizona.edu.
Aiwen XingDepartment of Statistics, Florida State University, Tallahassee, FL.
Haitao ChuStatistical 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.
M Hassan MuradEvidence-Based Practice Center, Mayo Clinic, Rochester, MN.
Chang XuMinistry 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.
Benjamin R BaerDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, NY.
Martin T WellsDepartment of Statistics and Data Science, Cornell University, Ithaca, NY.
Luis Sanchez-RamosDepartment of Obstetrics and Gynecology, College of Medicine, University of Florida, Jacksonville, FL.

Funding

Statistical Methods and Software for Multivariate Meta-analysisR01LM012982 · NLM · UNIVERSITY OF MINNESOTA · PI LIN, LIFENG, SIEGEL, LIANNE · 2019 to 2022
$1.3M
Joint modeling of continuous and binary data in meta-analysisR03MH128727 · NIMH · UNIVERSITY OF ARIZONA · PI LIN, LIFENG · 2022 to 2023
$146k
NIMH NIH HHS R03 MH128727NLM NIH HHS R01 LM012982
6 · The paper itself

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.

Indexed as

ProbabilityClinical Trials as TopicHumansMeta-Analysis as TopicNetwork Meta-Analysis as Topicconfidence intervalfragility indexmeta-analysisP valueresearch replicabilitystatistical significance

Identifiers

PMID36084702
PMCPMC9974556

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.