Literature DB >> 31150836

Overall bias and sample sizes were unchanged in ICU trials over time: a meta-epidemiological study.

Carl Thomas Anthon1, Anders Granholm2, Anders Perner3, Jon Henrik Laake4, Morten Hylander Møller3.   

Abstract

OBJECTIVE: To assess time trends in risk of bias (RoB) and sample sizes in randomized clinical trials (RCTs) of adult intensive care unit (ICU) patients. STUDY DESIGN AND
SETTING: A meta-epidemiological study of RCTs from Cochrane systematic reviews assessing interventions in adult ICU patients. Using run charts, we assessed time trends in the annual proportion of RCTs with overall low RoB, the annual median sample sizes, and the annual proportion of RCTs with low, unclear, and high RoB in individual bias domains.
RESULTS: We included 604 RCTs published between 1977 and 2018 from 53 Cochrane systematic reviews. Only 6.8% of the RCTs had overall low RoB. We observed only random variation in the annual proportions of RCTs with overall low RoB, in the annual median sample sizes and in most individual bias domains. For "allocation concealment," we observed an increase in the proportion of low RoB RCTs and a decrease in the unclear RoB RCTs.
CONCLUSIONS: Few RCTs in adult ICU patients had overall low RoB. We found no evidence of an increase in RCTs with overall low RoB or in the median sample sizes over time. The only individual RoB domain with better ratings over time was "allocation concealment."
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Intensive care; Intensive care unit; Randomized clinical trials; Research methodology; Risk of bias; Sample size

Mesh:

Year:  2019        PMID: 31150836     DOI: 10.1016/j.jclinepi.2019.05.021

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  4 in total

1.  Contemporary strategies to improve clinical trial design for critical care research: insights from the First Critical Care Clinical Trialists Workshop.

Authors:  Michael O Harhay; Jonathan D Casey; Marina Clement; Sean P Collins; Étienne Gayat; Michelle Ng Gong; Samir Jaber; Pierre-François Laterre; John C Marshall; Michael A Matthay; Rhonda E Monroe; Todd W Rice; Eileen Rubin; Wesley H Self; Alexandre Mebazaa
Journal:  Intensive Care Med       Date:  2020-02-18       Impact factor: 17.440

2.  Focus on clinical trial interpretation.

Authors:  Morten Hylander Møller; Lennie P G Derde; Rob Mac Sweeney
Journal:  Intensive Care Med       Date:  2020-03-12       Impact factor: 17.440

3.  Powering Bias and Clinically Important Treatment Effects in Randomized Trials of Critical Illness.

Authors:  Darryl Abrams; Sydney B Montesi; Sarah K L Moore; Daniel K Manson; Kaitlin M Klipper; Meredith A Case; Daniel Brodie; Jeremy R Beitler
Journal:  Crit Care Med       Date:  2020-12       Impact factor: 9.296

Review 4.  Randomised clinical trials in critical care: past, present and future.

Authors:  Anders Granholm; Waleed Alhazzani; Lennie P G Derde; Derek C Angus; Fernando G Zampieri; Naomi E Hammond; Rob Mac Sweeney; Sheila N Myatra; Elie Azoulay; Kathryn Rowan; Paul J Young; Anders Perner; Morten Hylander Møller
Journal:  Intensive Care Med       Date:  2021-12-02       Impact factor: 41.787

  4 in total

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