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A nomogram to estimate the HbA1c response to different DPP-4 inhibitors in type 2 diabetes: a systematic review and meta-analysis of 98 trials with 24 163 patients

OBJECTIVES: To develop a nomogram for estimating the glycated haemoglobin (HbA1c) response to different dipeptidyl peptidase-4 (DPP-4) inhibitors in type 2 diabetes. DESIGN: A systematic review and meta-analysis of randomised controlled trials (RCTs) of DPP-4 inhibitors (vildagliptin, sitagliptin, s...

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Autores principales: Esposito, Katherine, Chiodini, Paolo, Maiorino, Maria Ida, Capuano, Annalisa, Cozzolino, Domenico, Petrizzo, Michela, Bellastella, Giuseppe, Giugliano, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336462/
https://www.ncbi.nlm.nih.gov/pubmed/25687897
http://dx.doi.org/10.1136/bmjopen-2014-005892
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author Esposito, Katherine
Chiodini, Paolo
Maiorino, Maria Ida
Capuano, Annalisa
Cozzolino, Domenico
Petrizzo, Michela
Bellastella, Giuseppe
Giugliano, Dario
author_facet Esposito, Katherine
Chiodini, Paolo
Maiorino, Maria Ida
Capuano, Annalisa
Cozzolino, Domenico
Petrizzo, Michela
Bellastella, Giuseppe
Giugliano, Dario
author_sort Esposito, Katherine
collection PubMed
description OBJECTIVES: To develop a nomogram for estimating the glycated haemoglobin (HbA1c) response to different dipeptidyl peptidase-4 (DPP-4) inhibitors in type 2 diabetes. DESIGN: A systematic review and meta-analysis of randomised controlled trials (RCTs) of DPP-4 inhibitors (vildagliptin, sitagliptin, saxagliptin, linagliptin and alogliptin) on HbA1c were conducted. Electronic searches were carried out up to December 2013. Trials were included if they were carried out on participants with type 2 diabetes, lasted at least 12 weeks, included at least 30 participants and had a final assessment of HbA1c. A random effect model was used to pool data. A nomogram was used to represent results of the metaregression model. PARTICIPANTS: Adults with type 2 diabetes. INTERVENTIONS: Any DPP-4 inhibitor (vildagliptin, sitagliptin, saxagliptin, linagliptin or alogliptin). OUTCOME MEASURES: The HbA1c response to each DPP-4 inhibitor within 1 year of therapy. RESULTS: We screened 928 citations and reviewed 98 articles reporting 98 RCTs with 100 arms in 24 163 participants. There were 26 arms with vildagliptin, 37 with sitagliptin, 13 with saxagliptin, 13 with linagliptin and 11 with alogliptin. For all 100 arms, the mean baseline HbA1c value was 8.05% (64 mmol/mol); the decrease of HbA1c from baseline was −0.77% (95% CI −0.82 to −0.72%), with high heterogeneity (I(2)=96%). Multivariable metaregression model that included baseline HbA1c, type of DPP-4 inhibitor and fasting glucose explained 58% of variance between studies, with no significant interaction between them. Other factors, including age, previous diabetes drugs and duration of treatment added low predictive power (<1%). The nomogram estimates the absolute HbA1c reduction from baseline using the type of DPP-4 inhibitor, baseline values of HbA1c and fasting glucose. CONCLUSIONS: Baseline HbA1c level and fasting glucose explain most of the variance in HbA1c change in response to DPP-4 inhibitors: each increase of 1.0% units HbA1c provides a 0.4–0.5% units greater fall.
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spelling pubmed-43364622015-02-25 A nomogram to estimate the HbA1c response to different DPP-4 inhibitors in type 2 diabetes: a systematic review and meta-analysis of 98 trials with 24 163 patients Esposito, Katherine Chiodini, Paolo Maiorino, Maria Ida Capuano, Annalisa Cozzolino, Domenico Petrizzo, Michela Bellastella, Giuseppe Giugliano, Dario BMJ Open Diabetes and Endocrinology OBJECTIVES: To develop a nomogram for estimating the glycated haemoglobin (HbA1c) response to different dipeptidyl peptidase-4 (DPP-4) inhibitors in type 2 diabetes. DESIGN: A systematic review and meta-analysis of randomised controlled trials (RCTs) of DPP-4 inhibitors (vildagliptin, sitagliptin, saxagliptin, linagliptin and alogliptin) on HbA1c were conducted. Electronic searches were carried out up to December 2013. Trials were included if they were carried out on participants with type 2 diabetes, lasted at least 12 weeks, included at least 30 participants and had a final assessment of HbA1c. A random effect model was used to pool data. A nomogram was used to represent results of the metaregression model. PARTICIPANTS: Adults with type 2 diabetes. INTERVENTIONS: Any DPP-4 inhibitor (vildagliptin, sitagliptin, saxagliptin, linagliptin or alogliptin). OUTCOME MEASURES: The HbA1c response to each DPP-4 inhibitor within 1 year of therapy. RESULTS: We screened 928 citations and reviewed 98 articles reporting 98 RCTs with 100 arms in 24 163 participants. There were 26 arms with vildagliptin, 37 with sitagliptin, 13 with saxagliptin, 13 with linagliptin and 11 with alogliptin. For all 100 arms, the mean baseline HbA1c value was 8.05% (64 mmol/mol); the decrease of HbA1c from baseline was −0.77% (95% CI −0.82 to −0.72%), with high heterogeneity (I(2)=96%). Multivariable metaregression model that included baseline HbA1c, type of DPP-4 inhibitor and fasting glucose explained 58% of variance between studies, with no significant interaction between them. Other factors, including age, previous diabetes drugs and duration of treatment added low predictive power (<1%). The nomogram estimates the absolute HbA1c reduction from baseline using the type of DPP-4 inhibitor, baseline values of HbA1c and fasting glucose. CONCLUSIONS: Baseline HbA1c level and fasting glucose explain most of the variance in HbA1c change in response to DPP-4 inhibitors: each increase of 1.0% units HbA1c provides a 0.4–0.5% units greater fall. BMJ Publishing Group 2015-02-16 /pmc/articles/PMC4336462/ /pubmed/25687897 http://dx.doi.org/10.1136/bmjopen-2014-005892 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Diabetes and Endocrinology
Esposito, Katherine
Chiodini, Paolo
Maiorino, Maria Ida
Capuano, Annalisa
Cozzolino, Domenico
Petrizzo, Michela
Bellastella, Giuseppe
Giugliano, Dario
A nomogram to estimate the HbA1c response to different DPP-4 inhibitors in type 2 diabetes: a systematic review and meta-analysis of 98 trials with 24 163 patients
title A nomogram to estimate the HbA1c response to different DPP-4 inhibitors in type 2 diabetes: a systematic review and meta-analysis of 98 trials with 24 163 patients
title_full A nomogram to estimate the HbA1c response to different DPP-4 inhibitors in type 2 diabetes: a systematic review and meta-analysis of 98 trials with 24 163 patients
title_fullStr A nomogram to estimate the HbA1c response to different DPP-4 inhibitors in type 2 diabetes: a systematic review and meta-analysis of 98 trials with 24 163 patients
title_full_unstemmed A nomogram to estimate the HbA1c response to different DPP-4 inhibitors in type 2 diabetes: a systematic review and meta-analysis of 98 trials with 24 163 patients
title_short A nomogram to estimate the HbA1c response to different DPP-4 inhibitors in type 2 diabetes: a systematic review and meta-analysis of 98 trials with 24 163 patients
title_sort nomogram to estimate the hba1c response to different dpp-4 inhibitors in type 2 diabetes: a systematic review and meta-analysis of 98 trials with 24 163 patients
topic Diabetes and Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336462/
https://www.ncbi.nlm.nih.gov/pubmed/25687897
http://dx.doi.org/10.1136/bmjopen-2014-005892
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