Literature DB >> 22842718

Invited commentary: assessing mechanistic interaction between coinfecting pathogens for diarrheal disease.

Tyler J Vanderweele1.   

Abstract

The interaction estimates from Bhavnani et al. (Am J Epidemiol. 2012;176(5):387-395) are used to evaluate evidence for mechanistic interaction between coinfecting pathogens for diarrheal disease. Mechanistic interaction is said to be present if there are individuals for whom the outcome would occur if both of 2 exposures are present but would not occur if 1 or the other of the exposures is absent. In the epidemiologic literature, mechanistic interaction is often conceived of as synergism within Rothman's sufficient-cause framework. Tests for additive interaction are sometimes used to assess such synergism or mechanistic interaction, but testing for positive additive interaction only allows for the conclusion of mechanistic interaction under fairly strong "monotonicity" assumptions. Alternative tests for mechanistic interaction, which do not require monotonicity assumptions, have been developed more recently but require more substantial additive interaction to draw the conclusion of the presence of mechanistic interaction. The additive interaction reported by Bhavnani et al. is of sufficient magnitude to provide strong evidence of mechanistic interaction between rotavirus and Giardia and between rotavirus and Escherichia. coli/Shigellae, even without any assumptions about monotonicity.

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Year:  2012        PMID: 22842718      PMCID: PMC3499113          DOI: 10.1093/aje/kws214

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  33 in total

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Authors:  Mirjam J Knol; Matthias Egger; Pippa Scott; Mirjam I Geerlings; Jan P Vandenbroucke
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2.  Sufficient cause interactions and statistical interactions.

Authors:  Tyler J VanderWeele
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3.  Estimation of the relative excess risk due to interaction and associated confidence bounds.

Authors:  David B Richardson; Jay S Kaufman
Journal:  Am J Epidemiol       Date:  2009-02-11       Impact factor: 4.897

4.  Marginal structural models for sufficient cause interactions.

Authors:  Tyler J Vanderweele; Stijn Vansteelandt; James M Robins
Journal:  Am J Epidemiol       Date:  2010-01-11       Impact factor: 4.897

Review 5.  Effect modification and the limits of biological inference from epidemiologic data.

Authors:  W D Thompson
Journal:  J Clin Epidemiol       Date:  1991       Impact factor: 6.437

6.  Epistatic interactions.

Authors:  Tyler J VanderWeele
Journal:  Stat Appl Genet Mol Biol       Date:  2010-01-06

7.  Synergistic effects between rotavirus and coinfecting pathogens on diarrheal disease: evidence from a community-based study in northwestern Ecuador.

Authors:  Darlene Bhavnani; Jason E Goldstick; William Cevallos; Gabriel Trueba; Joseph N S Eisenberg
Journal:  Am J Epidemiol       Date:  2012-07-25       Impact factor: 4.897

8.  Sufficient cause interactions for categorical and ordinal exposures with three levels.

Authors:  Tyler J Vanderweele
Journal:  Biometrika       Date:  2010-06-01       Impact factor: 2.445

Review 9.  Tests for interaction in epidemiologic studies: a review and a study of power.

Authors:  S Greenland
Journal:  Stat Med       Date:  1983 Apr-Jun       Impact factor: 2.373

Review 10.  Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems.

Authors:  Patrick C Phillips
Journal:  Nat Rev Genet       Date:  2008-11       Impact factor: 53.242

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  3 in total

1.  Bhavnani et Al. respond to "assessing mechanistic interaction".

Authors:  Darlene Bhavnani; Katherine J Hoggatt; Jason E Goldstick; William Cevallos; Gabriel Trueba; Joseph N S Eisenberg
Journal:  Am J Epidemiol       Date:  2012-07-25       Impact factor: 4.897

Review 2.  Considerations when assessing heterogeneity of treatment effect in patient-centered outcomes research.

Authors:  Catherine R Lesko; Nicholas C Henderson; Ravi Varadhan
Journal:  J Clin Epidemiol       Date:  2018-04-11       Impact factor: 6.437

3.  Comprehensive Analysis of Prevalence, Epidemiologic Characteristics, and Clinical Characteristics of Monoinfection and Coinfection in Diarrheal Diseases in Children in Tanzania.

Authors:  Sabrina J Moyo; Øyvind Kommedal; Bjorn Blomberg; Kurt Hanevik; Marit Gjerde Tellevik; Samuel Y Maselle; Nina Langeland
Journal:  Am J Epidemiol       Date:  2017-11-01       Impact factor: 4.897

  3 in total

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