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Title: A Bayesian Meta-Analysis of the Effect of Alcohol Use on HCV-Treatment Outcomes with a Comparison of Resampling Methods to Assess Uncertainty in Parameter Estimates.

Abstract

There is mounting evidence that alcohol use is significantly linked to lower HCV treatment response rates in interferon-based therapies, though some of the evidence is conflicting. Furthermore, although health care providers recommend reducing or abstaining from alcohol use prior to treatment, many patients do not succeed in doing so. The goal of this meta-analysis was to systematically review and summarize the Englishlanguage literature up through January 30, 2015 regarding the relationship between alcohol use and HCV treatment outcomes, among patients who were not required to abstain from alcohol use in order to receive treatment. Seven pertinent articles studying 1,751 HCV-infected patients were identified. Log-ORs of HCV treatment response for heavy alcohol use and light alcohol use were calculated and compared. We employed a hierarchical Bayesian meta-analytic model to accommodate the small sample size. The summary estimate for the log-OR of HCV treatment response was -0.775 with a 95% credible interval of (-1.397, -0.236). The results of the Bayesian meta-analysis are slightly more conservative compared to those obtained from a boot-strapped, random effects model. We found evidence of heterogeneity (Q = 14.489, p = 0.025), accounting for 60.28% of the variation among log-ORs. Meta-regression to capture the sources of this heterogeneitymore » did not identify any of the covariates investigated as significant. This meta-analysis confirms that heavy alcohol use is associated with decreased HCV treatment response compared to lighter levels of alcohol use. Further research is required to characterize the mechanism by which alcohol use affects HCV treatment response.« less

Authors:
 [1];  [1];  [1];  [2];  [2];  [2]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. US Dept. of Veterans Affairs, Washington, DC (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE; US Dept. of Veterans Affairs
OSTI Identifier:
1427279
Report Number(s):
SAND-2015-8499J
Journal ID: ISSN 9999-0014; 607199
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Journal Article
Journal Name:
Sandia journal manuscript; Not yet accepted for publication
Additional Journal Information:
Journal Name: Sandia journal manuscript; Not yet accepted for publication; Journal ID: ISSN 9999-0014
Publisher:
Sandia
Country of Publication:
United States
Language:
English
Subject:
Bayesian meta-analysis; resampling,; hepatitis C; alcohol; uncertainty quantification

Citation Formats

Cauthen, Katherine Regina, Lambert, Gregory Joseph, Finley, Patrick D., Ross, David, Chartier, Maggie, and Davey, Victoria J. A Bayesian Meta-Analysis of the Effect of Alcohol Use on HCV-Treatment Outcomes with a Comparison of Resampling Methods to Assess Uncertainty in Parameter Estimates.. United States: N. p., 2015. Web.
Cauthen, Katherine Regina, Lambert, Gregory Joseph, Finley, Patrick D., Ross, David, Chartier, Maggie, & Davey, Victoria J. A Bayesian Meta-Analysis of the Effect of Alcohol Use on HCV-Treatment Outcomes with a Comparison of Resampling Methods to Assess Uncertainty in Parameter Estimates.. United States.
Cauthen, Katherine Regina, Lambert, Gregory Joseph, Finley, Patrick D., Ross, David, Chartier, Maggie, and Davey, Victoria J. Thu . "A Bayesian Meta-Analysis of the Effect of Alcohol Use on HCV-Treatment Outcomes with a Comparison of Resampling Methods to Assess Uncertainty in Parameter Estimates.". United States. https://www.osti.gov/servlets/purl/1427279.
@article{osti_1427279,
title = {A Bayesian Meta-Analysis of the Effect of Alcohol Use on HCV-Treatment Outcomes with a Comparison of Resampling Methods to Assess Uncertainty in Parameter Estimates.},
author = {Cauthen, Katherine Regina and Lambert, Gregory Joseph and Finley, Patrick D. and Ross, David and Chartier, Maggie and Davey, Victoria J.},
abstractNote = {There is mounting evidence that alcohol use is significantly linked to lower HCV treatment response rates in interferon-based therapies, though some of the evidence is conflicting. Furthermore, although health care providers recommend reducing or abstaining from alcohol use prior to treatment, many patients do not succeed in doing so. The goal of this meta-analysis was to systematically review and summarize the Englishlanguage literature up through January 30, 2015 regarding the relationship between alcohol use and HCV treatment outcomes, among patients who were not required to abstain from alcohol use in order to receive treatment. Seven pertinent articles studying 1,751 HCV-infected patients were identified. Log-ORs of HCV treatment response for heavy alcohol use and light alcohol use were calculated and compared. We employed a hierarchical Bayesian meta-analytic model to accommodate the small sample size. The summary estimate for the log-OR of HCV treatment response was -0.775 with a 95% credible interval of (-1.397, -0.236). The results of the Bayesian meta-analysis are slightly more conservative compared to those obtained from a boot-strapped, random effects model. We found evidence of heterogeneity (Q = 14.489, p = 0.025), accounting for 60.28% of the variation among log-ORs. Meta-regression to capture the sources of this heterogeneity did not identify any of the covariates investigated as significant. This meta-analysis confirms that heavy alcohol use is associated with decreased HCV treatment response compared to lighter levels of alcohol use. Further research is required to characterize the mechanism by which alcohol use affects HCV treatment response.},
doi = {},
journal = {Sandia journal manuscript; Not yet accepted for publication},
issn = {9999-0014},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {10}
}