Aims: The aim of the present meta-analysis is the identification of the characteristics of patients, which predict the efficacy on HbA1c of glucagon-like peptide-1 receptor agonists (GLP-1 RA). Methods: A Medline and Embase search for “exenatide” OR “liraglutide” OR “albiglutide” OR “dulaglutide” OR “lixisenatide” was performed, collecting randomized clinical trials (duration > 12 weeks) up to September 2016, comparing GLP-1 RA at the maximal approved dose with placebo or active drugs. Furthermore, unpublished studies were searched in the www.clinicaltrials.gov register. For meta-analyses, the outcome considered were 24- and 52-week HbA1c. Separate analyses were performed, whenever possible, for subgroups of trials based on several inclusion criteria. In addition, meta-regression analyses were performed for comparisons for which 10 or more trails were available. Results: A total of 92 trials fulfilling the inclusion criteria were identified. In placebo-controlled trials (n = 41), the 24-week mean reduction of HbA1c with GLP-1 RA was − 0.75 [− 0.87; − 0.63]%. Shorter-acting molecules appear to be more effective in patients with lower fasting glucose, whereas longer-acting agents in patients with higher fasting hyperglycaemia. Obesity and duration of diabetes do not seem to moderate the efficacy of GLP-1 RA, whereas in non-Caucasians and older patients liraglutide could be less effective. At 52 weeks, only 9 placebo-controlled trials were available for preventing any reliable analyses. Conclusions: Using a variety of approaches (meta-analyses of subgroup of trials, meta-regression, systematic review of subgroup analyses in individual trials, and meta-analyses of subgroups of patients), we identified some putative predictors of efficacy of GLP-1 RA, which deserve further investigation.
Predictors of response to glucagon-like peptide-1 receptor agonists. a meta-analysis and systematic review of randomized controlled trials / Monami, M; Dicembrini, I; Nreu, B; Andreozzi, F; Sesti, G; Mannucci, E. - In: ACTA DIABETOLOGICA. - ISSN 0940-5429. - 54:12(2017), pp. 1101-1114. [10.1007/s00592-017-1054-2]
Predictors of response to glucagon-like peptide-1 receptor agonists. a meta-analysis and systematic review of randomized controlled trials
Sesti G;
2017
Abstract
Aims: The aim of the present meta-analysis is the identification of the characteristics of patients, which predict the efficacy on HbA1c of glucagon-like peptide-1 receptor agonists (GLP-1 RA). Methods: A Medline and Embase search for “exenatide” OR “liraglutide” OR “albiglutide” OR “dulaglutide” OR “lixisenatide” was performed, collecting randomized clinical trials (duration > 12 weeks) up to September 2016, comparing GLP-1 RA at the maximal approved dose with placebo or active drugs. Furthermore, unpublished studies were searched in the www.clinicaltrials.gov register. For meta-analyses, the outcome considered were 24- and 52-week HbA1c. Separate analyses were performed, whenever possible, for subgroups of trials based on several inclusion criteria. In addition, meta-regression analyses were performed for comparisons for which 10 or more trails were available. Results: A total of 92 trials fulfilling the inclusion criteria were identified. In placebo-controlled trials (n = 41), the 24-week mean reduction of HbA1c with GLP-1 RA was − 0.75 [− 0.87; − 0.63]%. Shorter-acting molecules appear to be more effective in patients with lower fasting glucose, whereas longer-acting agents in patients with higher fasting hyperglycaemia. Obesity and duration of diabetes do not seem to moderate the efficacy of GLP-1 RA, whereas in non-Caucasians and older patients liraglutide could be less effective. At 52 weeks, only 9 placebo-controlled trials were available for preventing any reliable analyses. Conclusions: Using a variety of approaches (meta-analyses of subgroup of trials, meta-regression, systematic review of subgroup analyses in individual trials, and meta-analyses of subgroups of patients), we identified some putative predictors of efficacy of GLP-1 RA, which deserve further investigation.File | Dimensione | Formato | |
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Monami_Predictors_2017.pdf
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