The Use and Limitations of the Fragility Index in the Interpretation of Clinical Trial Findings

2020 ◽  
Vol 81 (2) ◽  
Author(s):  
Chittaranjan Andrade
2020 ◽  
Vol 3 (8) ◽  
pp. e2012469
Author(s):  
Muhammad Shahzeb Khan ◽  
Gregg C. Fonarow ◽  
Tim Friede ◽  
Noman Lateef ◽  
Safi U. Khan ◽  
...  

2021 ◽  
Vol 11 ◽  
pp. 239-251
Author(s):  
Carl L. Herndon ◽  
Kyle L. McCormick ◽  
Anastasia Gazgalis ◽  
Elise C. Bixby ◽  
Matthew M. Levitsky ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Benjamin R. Baer ◽  
Stephen E. Fremes ◽  
Mario Gaudino ◽  
Mary Charlson ◽  
Martin T. Wells

Abstract Background Clinical 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. Methods We 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. Results The 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. Conclusions The 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.


2021 ◽  
Vol 118 (49) ◽  
pp. e2105254118
Author(s):  
Benjamin R. Baer ◽  
Mario Gaudino ◽  
Mary Charlson ◽  
Stephen E. Fremes ◽  
Martin T. Wells

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.


2002 ◽  
Vol 89 (2) ◽  
pp. 154-157 ◽  
Author(s):  
F. F Palazzo ◽  
D. L Francis ◽  
M. A Clifton

2001 ◽  
Vol 120 (5) ◽  
pp. A453-A453 ◽  
Author(s):  
B SHEN ◽  
J ACHKAR ◽  
B LASHNER ◽  
A ORMSBY ◽  
F REMZI ◽  
...  

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