Literature DB >> 19179043

Indirect comparison: relative risk fallacies and odds solution.

Simon Eckermann1, Michael Coory, Andrew R Willan.   

Abstract

OBJECTIVE: When undertaking indirect comparisons, relative risk (RR) is often suggested as an appropriate indicator of treatment effect, particularly where baseline (common comparator) risks differ. In this article, we demonstrate that such use of RR in indirect comparisons is not necessarily stable with respect to framing of outcomes. STUDY DESIGN AND
SETTING: Use of RR is shown to lead to inferential fallacies where, for example, a new therapy is suggested to reduce both mortality and survival risk. Conditions under which the inferential fallacy arises and an odds solution are illustrated in indirect comparison of natalizumab and interferon beta-1b for multiple sclerosis.
RESULTS: Using RR, natiluzimab is suggested to be 30% more effective than interferon for progression (RR=0.70), but 16% less effective than interferon for no progression (RR=0.84). This inferential anomaly is avoided using odds ratios (ORs), with odds of progression (0.83) the reciprocal of that for no progression (1.21).
CONCLUSION: Inferential fallacies with use of RR in indirect comparison provide scope for abuse with respect to choice in framing of outcomes, and confound decision making where both results are presented. The use of ORs overcomes this inferential fallacy, consistently informing inference with respect to direction of treatment effect in indirect comparisons.

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Year:  2009        PMID: 19179043     DOI: 10.1016/j.jclinepi.2008.10.013

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


  14 in total

Review 1.  Frequency of treatment-effect modification affecting indirect comparisons: a systematic review.

Authors:  Michael Coory; Susan Jordan
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

2.  Consistently estimating absolute risk difference when translating evidence to jurisdictions of interest.

Authors:  Simon Eckermann; Michael Coory; Andrew R Willan
Journal:  Pharmacoeconomics       Date:  2011-02       Impact factor: 4.981

Review 3.  Optimal global value of information trials: better aligning manufacturer and decision maker interests and enabling feasible risk sharing.

Authors:  Simon Eckermann; Andrew R Willan
Journal:  Pharmacoeconomics       Date:  2013-05       Impact factor: 4.981

4.  Comparative gastrointestinal safety of bisphosphonates in primary osteoporosis: a network meta-analysis.

Authors:  M Tadrous; L Wong; M M Mamdani; D N Juurlink; M D Krahn; L E Lévesque; S M Cadarette
Journal:  Osteoporos Int       Date:  2013-11-28       Impact factor: 4.507

5.  Rank reversal in indirect comparisons.

Authors:  Edward C Norton; Morgen M Miller; Jason J Wang; Kasey Coyne; Lawrence C Kleinman
Journal:  Value Health       Date:  2012-09-07       Impact factor: 5.725

6.  Prevalence odds ratio versus prevalence ratio: choice comes with consequences.

Authors:  Ashutosh R Tamhane; Andrew O Westfall; Greer A Burkholder; Gary R Cutter
Journal:  Stat Med       Date:  2016-07-26       Impact factor: 2.373

7.  Simulation evaluation of statistical properties of methods for indirect and mixed treatment comparisons.

Authors:  Fujian Song; Allan Clark; Max O Bachmann; Jim Maas
Journal:  BMC Med Res Methodol       Date:  2012-09-12       Impact factor: 4.615

8.  Inconsistency between direct and indirect comparisons of competing interventions: meta-epidemiological study.

Authors:  Fujian Song; Tengbin Xiong; Sheetal Parekh-Bhurke; Yoon K Loke; Alex J Sutton; Alison J Eastwood; Richard Holland; Yen-Fu Chen; Anne-Marie Glenny; Jonathan J Deeks; Doug G Altman
Journal:  BMJ       Date:  2011-08-16

9.  Characteristics of a loop of evidence that affect detection and estimation of inconsistency: a simulation study.

Authors:  Areti Angeliki Veroniki; Dimitris Mavridis; Julian P T Higgins; Georgia Salanti
Journal:  BMC Med Res Methodol       Date:  2014-09-19       Impact factor: 4.615

Review 10.  A systematic review and mixed-treatment comparison of dapagliflozin with existing anti-diabetes treatments for those with type 2 diabetes mellitus inadequately controlled by sulfonylurea monotherapy.

Authors:  Michelle Orme; Peter Fenici; Isabelle Duprat Lomon; Gail Wygant; Rebecca Townsend; Marina Roudaut
Journal:  Diabetol Metab Syndr       Date:  2014-06-11       Impact factor: 3.320

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