Similar trends were observed for changes in total cholesterol .
Implication sGiven the available data , the addition of ezetimibe to ongoing simvastatin , atorvastatin , or rosuvastatin monotherapy offers greater reduction in LDL-C among patients at high risk of CVD compared to doubling the initial statin dose
Purpose While statins are used as first-line treatments for high-risk patients with hypercholesterolemia , statin monotherapy is often insufficient to achieve target low-density lipoprotein cholesterol ( LDL-C ) levels .
Second-line treatment options include up-titration of statin dose , switching to a more potent statin , or combination therapy , e.g. , with ezetimibe .
The aim of this study was to evaluate the efficacy of adding ezetimibe to simvastatin , atorvastatin , or rosuvastatin monotherapy versus doubling the dosage or switching to a higher-potency statin in a population of patients with hypocholesterolemia at high risk of cardiovascular disease ( CVD ) and who had been previously treated with a statin .
Combination of direct and indirect evidence in mixed treatment comparisons.
Mixed treatment comparison ( MTC ) meta- analysis is a generalization of st and ard pairwise meta- analysis for A vs B trials , to data structures that include , for example , A vs B , B vs C , and A vs C trials . There are two roles for MTC : one is to strengthen inference concerning the relative efficacy of two treatments , by including both ' direct ' and ' indirect ' comparisons . The other is to facilitate simultaneous inference regarding all treatments , in order for example to select the best treatment . In this paper , we present a range of Bayesian hierarchical models using the Markov chain Monte Carlo software WinBUGS . These are multivariate r and om effects models that allow for variation in true treatment effects across trials . We consider models where the between-trials variance is homogeneous across treatment comparisons as well as heterogeneous variance models . We also compare models with fixed ( unconstrained ) baseline study effects with models with r and om baselines drawn from a common distribution . These models are applied to an illustrative data set and posterior parameter distributions are compared . We discuss model critique and model selection , illustrating the role of Bayesian deviance analysis , and node-based model criticism . The assumptions underlying the MTC models and their parameterization are also discussed
Similar trends were observed for changes in total cholesterol .
Implication sGiven the available data , the addition of ezetimibe to ongoing simvastatin , atorvastatin , or rosuvastatin monotherapy offers greater reduction in LDL-C among patients at high risk of CVD compared to doubling the initial statin dose
Purpose While statins are used as first-line treatments for high-risk patients with hypercholesterolemia , statin monotherapy is often insufficient to achieve target low-density lipoprotein cholesterol ( LDL-C ) levels .
Second-line treatment options include up-titration of statin dose , switching to a more potent statin , or combination therapy , e.g. , with ezetimibe .
The aim of this study was to evaluate the efficacy of adding ezetimibe to simvastatin , atorvastatin , or rosuvastatin monotherapy versus doubling the dosage or switching to a higher-potency statin in a population of patients with hypocholesterolemia at high risk of cardiovascular disease ( CVD ) and who had been previously treated with a statin .