Evidence map›Paper›PMID 34800976›Full record

ArticleBMC medical research methodology2021

On clinical trial fragility due to patients lost to follow up.

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

Abstract read
In one paragraph

Article in BMC medical research methodology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Assessing robustness of results of randomised clinical trials using Fragility Index.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2024
    Article
  7. Review
  8. Article
  9. 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, US. brb225@cornell.edu.
Stephen E FremesSchulich Heart Centre, Sunnybrook Health Science Centre, University of Toronto, Toronto, ON, Canada.
Mario GaudinoDepartment of Cardiothoracic Surgery, Weill Cornell Medicine, New York, NY, US.
Mary CharlsonDepartment of Medicine, Weill Cornell Medicine, Weill Cornell Medicine, New York, NY, US.
Martin T WellsDepartment of Statistics and Data Science, Cornell University, Ithaca, NY, US.

Funding

Viable but Nonculturable MtbU19AI111143 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI FITZGERALD, DANIEL W, GLICKMAN, MICHAEL S · 2014 to 2020
$48.6M
NIAID NIH HHS U19 AI111143NIH HHS U19 AI111143
6 · The paper itself

Abstract

backgroundClinical trials routinely have patients lost to follow up. We propose a methodology to understand their possible effect on the results of statistical tests by altering the concept of the fragility index to treat the outcomes of observed patients as fixed but incorporate the potential outcomes of patients lost to follow up as random and subject to modification.

methodsWe reanalyse the statistical results of three clinical trials on coronary artery bypass grafting (CABG) to study the possible effect of patients lost to follow up on the treatment effect statistical significance. To do so, we introduce the LTFU-aware fragility indices as a measure of the robustness of a clinical trial's statistical results with respect to patients lost to follow up.

resultsThe analyses illustrate that clinical trials can either be completely robust to the outcomes of patients lost to follow up, extremely sensitive to the outcomes of patients lost to follow up, or in an intermediate state. When a clinical trial is in an intermediate state, the LTFU-aware fragility indices provide an interpretable measure to quantify the degree of fragility or robustness.

conclusionsThe LTFU-aware fragility indices allow researchers to rigorously explore the outcomes of patients who are lost to follow up, when their data is the appropriate kind. The LTFU-aware fragility indices are sensitivity measures in a way that the original fragility index is not.

Indexed as

Lost to Follow-UpHumansCABGFragility indexLoss to follow upResearch methodsSensitivity analysisStatistical significance

Identifiers

PMID34800976
PMCPMC8606097

What OpenQuestion holds

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Registered trials

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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.