Association between beta-blockers and fracture risk: A Bayesian meta-analysis
BACKGROUND: The association between beta-blockers (BB) and fracture risk is controversial, due largely to conflicting findings from previous studies. The present study sought to evaluate the effect of BB on fracture risk by using a Bayesian meta-analysis approach. METHODS AND RESULTS: We systematically retrieved 13 observational studies on the association between BB use and fracture risk. This meta-analysis involved more than 907,000 men and women with mean/median age of individual studies ranging from 43 to 81years. We used a hierarchical Bayesian random effects model to synthesize the results. BB use was associated with an average 17% reduction in the risk of any fracture (risk ratio [RR] 0.83; 95% credible interval [CrI]: 0.71-0.93), hip fracture (RR 0.83; 95% CrI: 0.70-0.92) and vertebral fracture (RR 0.81; 95% CrI: 0.61-0.99). The probability that BB use reduces fracture risk by at least 10% was 0.91. CONCLUSIONS: Beta-blockers are associated with reduced risk of fracture in older adults, but the effect size is likely to be modest.
|Authors||Yang, S.; Nguyen, N.D.; Eisman, J.A.; Nguyen, T.V.|
|Responsible Garvan Author|
|URL link to publisher's version||http://www.ncbi.nlm.nih.gov/pubmed/22842220|
|OpenAccess link to author's accepted manuscript version||https://publications.gimr.garvan.org.au/open-access/11479|