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Quantifying Uncertainty in the Efficacy of Vitamin K on Fractures in Postmenopausal Women: Economic Evaluation, Evidence Synthesis and Bayesian Meta- Analysis

Posted on:2014-08-19Degree:Ph.DType:Thesis
University:University of Toronto (Canada)Candidate:Gajic-Veljanoski, OlgaFull Text:PDF
GTID:2454390005492757Subject:Obstetrics
Abstract/Summary:
Vitamin K has a negligible effect on bone mineral density (BMD) and a large but uncertain effect on fractures. The three studies in the thesis explored uncertainty about the effect of vitamin K on fractures using the methods of economic evaluation and Bayesian meta-analysis.;In study 1, a Markov probabilistic microsimulation model was developed for a hypothetical cohort of 50-year-old postmenopausal women without osteoporosis. This was a fracture incidence-based model, populated with data from the literature. It was used to examine the cost-effectiveness of two supplementation strategies over a lifetime horizon. We compared vitamin K2 (or vitamin K1) concurrent with vitamin D3 and calcium versus vitamin D3 and calcium alone. Study 2 included a systematic review, and classical and Bayesian univariate meta-analyses to determine the efficacies of the K vitamins on BMD or fractures in current and future trials. Study 3 used Bayesian bivariate random-effects meta-analysis to jointly model the treatment effects on two correlated bone outcomes. We compared the estimates from the univariate and bivariate meta-analyses and explored how these results would change the conclusions of the cost-effectiveness analysis.;The strategies including vitamin K were highly cost-effective at willingness-to-pay of ;Our analyses found substantial uncertainty around the estimates of the vitamin K effect on fractures. We recommend against routine use of vitamin K for fracture prevention. Bayesian bivariate meta-analysis accounts for all available information and should be considered when the treatment effects are measured on two correlated outcomes.
Keywords/Search Tags:Vitamin, Fractures, Effect, Bayesian, Uncertainty
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