Evidence map›Paper›PMID 34848537›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Fragility indices for only sufficiently likely modifications.

Benjamin R Baer, Mario Gaudino, Mary Charlson, Stephen E Fremes, Martin T Wells

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Assessing the robustness of COVID-19 vaccine efficacy trials: systematic review and meta-analysis, January 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Online haemodiafiltration and all-cause mortality: how fragile are the results of the studies published so far?Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

5 authors.

Benjamin R BaerDepartment of Statistics and Data Science, Cornell University, Ithaca, NY 14853; brb225@cornell.edu.ORCID 0000-0002-9662-9377
Mario GaudinoDepartment of Cardiothoracic Surgery, Weill Cornell Medicine, New York, NY 10021.ORCID 0000-0003-4680-0815
Mary CharlsonDepartment of Medicine, Weill Cornell Medicine, New York, NY 10065.
Stephen E FremesDivision of Cardiac Surgery, Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, ON, M4N 3M5 Canada.ORCID 0000-0003-1723-3049
Martin T WellsDepartment of Statistics and Data Science, Cornell University, Ithaca, NY 14853.ORCID 0000-0002-9750-9529

Funding

Viable but Nonculturable MtbU19AI111143 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI FITZGERALD, DANIEL W, GLICKMAN, MICHAEL S · 2014 to 2020
$48.6M
Learning Dynamics of Biological Processes from Time Course Omics DatasetsR01GM135926 · NIGMS · CORNELL UNIVERSITY · PI BASU, SUMANTA · 2019 to 2022
$1.4M
NIAID NIH HHS U19 AI111143NIGMS NIH HHS R01 GM135926
6 · The paper itself

Abstract

The fragility index is a clinically meaningful metric based on modifying patient outcomes that is increasingly used to interpret the robustness of clinical trial results. The fragility index relies on a concept that explores alternative realizations of the same clinical trial by modifying patient measurements. In this article, we propose to generalize the fragility index to a family of fragility indices called the incidence fragility indices that permit only outcome modifications that are sufficiently likely and provide an exact algorithm to calculate the incidence fragility indices. Additionally, we introduce a far-reaching generalization of the fragility index to any data type and explain how to permit only sufficiently likely modifications for nondichotomous outcomes. All of the proposed methodologies follow the fragility index concept.

Indexed as

Data Interpretation, StatisticalAlgorithmsHumansResearch DesignSample Sizeevidence measurefragility indexinterpretabilityP valuestatistical significance

Identifiers

PMID34848537
PMCPMC8670515

What OpenQuestion holds

Textmetadata
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.