Literature DB >> 25592169

Adjustment for compliance behavior in trials of epidural analgesia in labor using instrumental variable meta-analysis.

Melanie Bannister-Tyrrell1, Branko Miladinovic2, Christine L Roberts3, Jane B Ford3.   

Abstract

OBJECTIVES: Intention-to-treat (ITT) analysis of randomized controlled trials (RCTs) may cause bias when compliance is poor. Noncompliance describes failure to comply with allocation in the intervention arm, and contamination describes uptake of the intervention in the control arm. Instrumental variable (IV) analysis can be applied in addition to the primary ITT analysis to estimate the causal effect adjusted for noncompliance and contamination, assuming that noncompliers would have had the same treatment benefit as compliers. We aimed to compare ITT and IV meta-analysis of the association between epidural analgesia in labor and cesarean section. STUDY DESIGN AND
SETTING: The study was restricted to 27 trials in a Cochrane Systematic Review. The association between epidural analgesia in labor and cesarean section was calculated using ITT and IV analyses. Pooled risk ratios (RRs) were calculated using fixed-effects meta-analysis.
RESULTS: In 18 trials with compliance data, noncompliance was 23% and contamination was 27%. In 10 trials with outcome data stratified by compliance, the pooled RR for cesarean section following epidural analgesia was 1.37 [95% confidence interval (CI): 1.00, 1.89; P = 0.049] using IV compared with 1.19 (95% CI: 0.93, 1.51; P = 0.16) using ITT.
CONCLUSION: ITT meta-analysis underestimates the effect of receiving epidural analgesia in labor on cesarean section compared with IV meta-analysis.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cesarean section; Epidural analgesia; Instrumental variables; Intention-to-treat; Noncompliance; Randomized controlled trials

Mesh:

Year:  2014        PMID: 25592169     DOI: 10.1016/j.jclinepi.2014.11.005

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


  5 in total

1.  A Bayesian hierarchical model estimating CACE in meta-analysis of randomized clinical trials with noncompliance.

Authors:  Jincheng Zhou; James S Hodges; M Fareed K Suri; Haitao Chu
Journal:  Biometrics       Date:  2019-04-04       Impact factor: 2.571

2.  A Bayesian Hierarchical CACE Model Accounting for Incomplete Noncompliance With Application to a Meta-analysis of Epidural Analgesia on Cesarean Section.

Authors:  Jincheng Zhou; James S Hodges; Haitao Chu
Journal:  J Am Stat Assoc       Date:  2021-04-27       Impact factor: 5.033

Review 3.  Estimating the Complier Average Causal Effect in a Meta-Analysis of Randomized Clinical Trials With Binary Outcomes Accounting for Noncompliance: A Generalized Linear Latent and Mixed Model Approach.

Authors:  Ting Zhou; Jincheng Zhou; James S Hodges; Lifeng Lin; Yong Chen; Stephen R Cole; Haitao Chu
Journal:  Am J Epidemiol       Date:  2022-01-01       Impact factor: 5.363

4.  Rejoinder to "CACE and meta-analysis (letter to the editor)" by Stuart Baker.

Authors:  Jincheng Zhou; James S Hodges; Haitao Chu
Journal:  Biometrics       Date:  2020-02-28       Impact factor: 1.701

5.  Attention to childbirth and delivery in a university hospital: comparison of practices developed after Network Stork.

Authors:  Giovanna De Carli Lopes; Annelise de Carvalho Gonçalves; Helga Geremias Gouveia; Cláudia Junqueira Armellini
Journal:  Rev Lat Am Enfermagem       Date:  2019-04-29
  5 in total

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