Literature DB >> 28754551

The fragility of significant results underscores the need of larger randomized controlled trials in nephrology.

Lani R Shochet1, Peter G Kerr2, Kevan R Polkinghorne3.   

Abstract

The Fragility Index is a tool for testing robustness of randomized controlled trial results for dichotomous outcomes. It describes the minimum number of individuals in whom changing an event status would render a statistically significant result nonsignificant. Here we identified all randomized controlled trials in five nephrology and five general journals from 2005-2014. A total of 127 randomized controlled trials reporting at least one dichotomous statistically significant outcome (p less than 0.05) were included and the Fragility Index was calculated. Twenty randomized controlled trials had a Fragility Index of zero and were excluded from further analysis. Linear regression was performed to assess factors associated with Fragility Indexes stratified by primary or secondary outcomes. The median sample size was 134 (range 2211506) with 36 (range 5-2743) total number of events. The median Fragility Index was three (range 1-166), indicating that in half the trials the addition of three events to the treatment with the lowest number of events rendered the result nonsignificant. For primary outcome studies a doubling in total event number and sample size significantly increased the geometric mean Fragility Index by 52% and 42%, respectively. Compared to a reported p value of 0.05 to 0.01, those reporting 0.01 to 0.001 or less than 0.001 had a significant 57% and 472% increase in the median Fragility Index, respectively. Forty-one percent had a Fragility Index less than the total loss to follow-up, indicating a potential to change a trial result had all individuals been accounted for. Thus, our study highlights the need for larger randomized controlled trials with accurate accounting for loss to follow-up to adequately guide evidence-based practice.
Copyright © 2017 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Keywords:  fragility score; nephrology; randomized controlled trials

Mesh:

Year:  2017        PMID: 28754551     DOI: 10.1016/j.kint.2017.05.011

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  9 in total

1.  The Fragility Index in a Cohort of HIV/AIDS Randomized Controlled Trials.

Authors:  Cole Wayant; Chase Meyer; Rebecca Gupton; Mousumi Som; Damon Baker; Matt Vassar
Journal:  J Gen Intern Med       Date:  2019-04-29       Impact factor: 5.128

2.  The fragility index can be used for sample size calculations in clinical trials.

Authors:  Benjamin R Baer; Mario Gaudino; Stephen E Fremes; Mary Charlson; Martin T Wells
Journal:  J Clin Epidemiol       Date:  2021-08-15       Impact factor: 6.437

3.  The Fragility of Statistical Significance in Cartilage Restoration of the Knee: A Systematic Review of Randomized Controlled Trials.

Authors:  Robert L Parisien; Michael Constant; Bryan M Saltzman; Charles A Popkin; Christopher S Ahmad; Xinning Li; David P Trofa
Journal:  Cartilage       Date:  2021-05-10       Impact factor: 3.117

Review 4.  The Statistical Fragility of Single-Bundle vs Double-Bundle Autografts for ACL Reconstruction: A Systematic Review of Comparative Studies.

Authors:  Cooper B Ehlers; Andrew J Curley; Nathan P Fackler; Arjun Minhas; Ariel N Rodriguez; Kory Pasko; Edward S Chang
Journal:  Orthop J Sports Med       Date:  2021-12-20

5.  The Fragility of Significance in the Hip Arthroscopy Literature: A Systematic Review.

Authors:  Robert L Parisien; David P Trofa; Michaela O'Connor; Brock Knapp; Emily J Curry; Paul Tornetta; T Sean Lynch; Xinning Li
Journal:  JB JS Open Access       Date:  2021-10-21

6.  Comparative Studies in the Shoulder Literature Lack Statistical Robustness: A Fragility Analysis.

Authors:  Robert L Parisien; David P Trofa; Patrick K Cronin; Jesse Dashe; Emily J Curry; Josef K Eichinger; William N Levine; Paul Tornetta; Xinning Li
Journal:  Arthrosc Sports Med Rehabil       Date:  2021-10-12

7.  The Fragility of Statistically Significant Results in Randomized Clinical Trials for COVID-19.

Authors:  Takahiro Itaya; Yotsuha Isobe; Sayoko Suzuki; Kanako Koike; Masakazu Nishigaki; Yosuke Yamamoto
Journal:  JAMA Netw Open       Date:  2022-03-01

8.  Factors that impact fragility index and their visualizations.

Authors:  Lifeng Lin
Journal:  J Eval Clin Pract       Date:  2020-06-10       Impact factor: 2.336

Review 9.  Evaluation of the design, conduct and reporting of randomised controlled trials in the haemodialysis population: a scoping review and interview study.

Authors:  Prachi Kaushal; Sherna F Adenwalla; Courtney J Lightfoot; Daniel S March; Laura J Gray; James O Burton
Journal:  BMJ Open       Date:  2022-03-25       Impact factor: 2.692

  9 in total

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