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Predictors of Ibandronate Efficacy for the Management of Osteoporosis: A Meta-Regression Analysis

Ma Z, Li Y, Zhou M, Huang K, Hu H, Liu X, Xu X

PloS one, 2016

11,090 participants

Abstract

BACKGROUND: Aim of the present study was to identify the predictors of ibandronate efficacy in subjects with osteoporosis or decreased bone mineral density (BMD).

METHOD: Several electronic databases were searched by using specific keywords for the acquisition of research articles reporting the efficacy of ibandronate in subjects with osteoporosis or decreased BMD. Metaregression analyses were carried out by using changes in the BMD of lumbar spine and total hip following ibandronate treatment as dependent (outcome) variables against several independent (explanatory) variables.

RESULTS: Data were extracted from 34 studies (11,090 ibandronate treated subjects) which fulfilled eligibility criteria. A history of previous fracture/s was reported by 46% of these subjects. In overall population, longer treatment duration from 1 to 5 years, increasing age, history of previous fractures, lower baseline T score, and higher baseline levels of C-terminal telopeptide of type 1 collagen (CTX) predicted higher ibandronate efficacy in improving BMD of the lumbar spine as well as of the total hip. Lower baseline levels of vitamin D and higher baseline levels of bone specific alkaline phosphatase (BSAP) predicted higher efficacy of ibandronate for lumbar spine only. In postmenopausal women with osteoporosis or decreased BMD, in addition to above-mentioned predictors, better efficacy of ibandronate was also associated with increasing time since menopause for both lumbar spine and total hip…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 11,090 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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