An analysis of randomized controlled trials underpinning ST-elevation myocardial infarction management guidelines.


Journal

The American journal of emergency medicine
ISSN: 1532-8171
Titre abrégé: Am J Emerg Med
Pays: United States
ID NLM: 8309942

Informations de publication

Date de publication:
12 2019
Historique:
received: 31 01 2019
revised: 23 03 2019
accepted: 25 03 2019
pubmed: 4 4 2019
medline: 14 4 2020
entrez: 4 4 2019
Statut: ppublish

Résumé

The fragility index (FI) is calculated by iteratively changing one outcome "event" to a "non-event" within a trial until the associated p-value exceeds 0.05. To investigate the FI and fragility quotient (FQ) of trial endpoints referenced in the ACCF/AHA/SCAI guidelines in the management of ST-elevation myocardial infarctions. Secondarily, we assess the post-hoc power and risk of bias for these specific outcomes and whether differences exist between adequately and inadequately powered studies on fragility measures. All citations referenced in the guideline were screened for inclusion criteria. The FI and FQ for all included trials were then calculated. The Cochrane 'risk of bias' Tool 2.0 was used to evaluate the likelihood and sources of bias in the included trials. Forty-two randomized controlled trials were included for assessment. The median FI was 10 with a FQ of 0.0055. Seven trials were at a high risk of bias, all due to bias in the randomization process. Fifteen trials were found to be underpowered. Adequately powered studies had higher FIs and FQs compared to underpowered studies. Our findings support the use of FI and FQ analyses with power analyses in future methodology of randomized control trials. With understanding and reporting of FI and FQ, evidence of studies can be readily available and quickly eliminate some readers' concern for possible study limitations.

Sections du résumé

BACKGROUND
The fragility index (FI) is calculated by iteratively changing one outcome "event" to a "non-event" within a trial until the associated p-value exceeds 0.05.
PURPOSE
To investigate the FI and fragility quotient (FQ) of trial endpoints referenced in the ACCF/AHA/SCAI guidelines in the management of ST-elevation myocardial infarctions. Secondarily, we assess the post-hoc power and risk of bias for these specific outcomes and whether differences exist between adequately and inadequately powered studies on fragility measures.
BASIC PROCEDURES
All citations referenced in the guideline were screened for inclusion criteria. The FI and FQ for all included trials were then calculated. The Cochrane 'risk of bias' Tool 2.0 was used to evaluate the likelihood and sources of bias in the included trials.
MAIN FINDINGS
Forty-two randomized controlled trials were included for assessment. The median FI was 10 with a FQ of 0.0055. Seven trials were at a high risk of bias, all due to bias in the randomization process. Fifteen trials were found to be underpowered. Adequately powered studies had higher FIs and FQs compared to underpowered studies.
PRINCIPAL CONCLUSIONS
Our findings support the use of FI and FQ analyses with power analyses in future methodology of randomized control trials. With understanding and reporting of FI and FQ, evidence of studies can be readily available and quickly eliminate some readers' concern for possible study limitations.

Identifiants

pubmed: 30940409
pii: S0735-6757(19)30188-3
doi: 10.1016/j.ajem.2019.03.038
pii:
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2229-2238

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Chase Meyer (C)

Oklahoma State University Center for Health Sciences, Dept. of Institutional Research, United States of America.

Aaron Bowers (A)

Oklahoma State University Center for Health Sciences, Dept. of Institutional Research, United States of America.

Dev Jaiswal (D)

Oklahoma State University Medical Center, Internal Medicine, United States of America.

Jake Checketts (J)

Oklahoma State University Center for Health Sciences, Dept. of Institutional Research, United States of America.

Michael Engheta (M)

Oklahoma State University Medical Center, Internal Medicine, United States of America.

Caleb Severns (C)

Oklahoma State University Medical Center, Internal Medicine, United States of America.

Sharolyn Cook (S)

Oklahoma State University Medical Center, Cardiology, United States of America.

Corbin Walters (C)

Oklahoma State University Center for Health Sciences, Dept. of Institutional Research, United States of America. Electronic address: corbin.walters10@okstate.edu.

Matt Vassar (M)

Oklahoma State University Center for Health Sciences, Dept. of Institutional Research, United States of America.

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