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Open AccessJournal ArticleDOI

Comparative effectiveness of drug treatments to prevent fragility fractures: A systematic review and network meta-analysis

TLDR
Differences in efficacy across drugs are small; therefore, patients and clinicians need to consider their associated harms and costs.
Abstract
Context: Osteoporosis and osteopenia are associated with increased fracture incidence. Objective: The aim of this study was to determine the comparative effectiveness of different pharmacological agents in reducing the risk of fragility fractures. Data Sources: We searched multiple databases through 12/9/2011. Study Selection: Eligible studies were randomized controlled trials enrolling individuals at risk of developing fragility fractures and evaluating the efficacy of bisphosphonates, teriparatide, selective estrogen receptor modulators, denosumab, or calcium and vitamin D. Data Extraction: Reviewers working independently and in duplicate determined study eligibility and collected descriptive, methodological quality, and outcome data. Data Synthesis: This network meta-analysis included 116 trials (139,647 patients; median age, 64 yr; 86% females and 88% Caucasians; median follow-up, 24 months). Trials were at low to moderate risk of bias. Teriparatide had the highest risk reduction of fractures (odds ra...

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Citations
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Journal ArticleDOI

A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis

TL;DR: It is shown that the quality of evidence supporting NMA estimates varies from high to very low across comparisons, and that quality ratings given to a whole network are uninformative and likely to mislead.
Journal ArticleDOI

Osteoporosis in men: an Endocrine Society clinical practice guideline.

TL;DR: Osteoporosis in men causes significant morbidity and mortality and Pharmacological treatment is recommended for men aged 50 or older who have had spine or hip fractures, those with T-scores of -2.5 or below, and men at high risk of fracture based on low bone mineral density and/or clinical risk factors.
Journal ArticleDOI

Treatment of Low Bone Density or Osteoporosis to Prevent Fractures in Men and Women: A Clinical Practice Guideline Update From the American College of Physicians

TL;DR: This guideline updates the 2008 American College of Physicians recommendations on treatment of low bone density and osteoporosis to prevent fractures in men and women and recommends that clinicians should make the decision whether to treat osteopenic women 65 years of age or older who are at a high risk for fracture based on a discussion of patient preferences, fracture risk profile, and benefits, harms, and costs of medications.
References
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Journal ArticleDOI

Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
Journal ArticleDOI

Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
Journal ArticleDOI

Meta-Analysis in Clinical Trials*

TL;DR: This paper examines eight published reviews each reporting results from several related trials in order to evaluate the efficacy of a certain treatment for a specified medical condition and suggests a simple noniterative procedure for characterizing the distribution of treatment effects in a series of studies.
Book

Cochrane Handbook for Systematic Reviews of Interventions

TL;DR: The Cochrane Handbook for Systematic Reviews of Interventions is the official document that describes in detail the process of preparing and maintaining Cochrane systematic reviews on the effects of healthcare interventions.
Journal ArticleDOI

Combination of direct and indirect evidence in mixed treatment comparisons

TL;DR: A range of Bayesian hierarchical models using the Markov chain Monte Carlo software WinBUGS are presented that allow for variation in true treatment effects across trials, and models where the between-trials variance is homogeneous across treatment comparisons are considered.
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