Literature DB >> 26456885

Moderate concordance was found between case-only and parallel group designs in systematic comparison.

Koen Bernardus Pouwels1, Bianca Mulder2, Eelko Hak3.   

Abstract

OBJECTIVES: To empirically evaluate the concordance of effect estimates between case-only and parallel group designs and to identify predictors of discrepancies. STUDY DESIGN AND
SETTING: MEDLINE and EMBASE databases were searched through June 31, 2013. Studies that used both a case-only (case crossover or self-controlled case series) and a parallel group design (cohort or case-control) were identified. Spearman correlation coefficient was used to evaluate the concordance between designs. Z-scores were used to assess whether differences in the effect estimates were common, using an absolute threshold value of 1.96. A prediction model was built to identify predictors of discrepancies.
RESULTS: The search identified 1,367 articles of which 53 were included for analysis. In total, 519 comparisons were made. The correlation coefficient between case-only vs. parallel group studies was 0.64 (P < .001). In 221 of the 519 comparisons (43%), the difference between both study designs was larger than the predetermined threshold. The following predictors of discrepancy were found: intermittent exposure, rare event, acute outcome, length of hazard period, type of case-only design, and sample size (C statistic of 0.783).
CONCLUSION: The concordance between effect estimates of case-only and parallel group designs is moderate. Such discrepancies could be predicted by failure to meet assumptions of case-only designs.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Case crossover; Case–control studies; Cohort studies; Crossover studies; Research design; Self-controlled case series

Mesh:

Year:  2015        PMID: 26456885     DOI: 10.1016/j.jclinepi.2015.09.018

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


  3 in total

Review 1.  Clinical Research Informatics: Supporting the Research Study Lifecycle.

Authors:  S B Johnson
Journal:  Yearb Med Inform       Date:  2017-09-11

Review 2.  Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review.

Authors:  Nathalie Gault; Johann Castañeda-Sanabria; Yann De Rycke; Sylvie Guillo; Stéphanie Foulon; Florence Tubach
Journal:  BMC Med Res Methodol       Date:  2017-02-08       Impact factor: 4.615

3.  Association between statins and infections among patients with diabetes: a cohort and prescription sequence symmetry analysis.

Authors:  Koen B Pouwels; Niken N Widyakusuma; Jens H J Bos; Eelko Hak
Journal:  Pharmacoepidemiol Drug Saf       Date:  2016-06-30       Impact factor: 2.890

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.