Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1782358471550697472 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4336462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT espositokatherine anomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT chiodinipaolo anomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT maiorinomariaida anomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT capuanoannalisa anomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT cozzolinodomenico anomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT petrizzomichela anomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT bellastellagiuseppe anomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT giuglianodario anomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT espositokatherine nomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT chiodinipaolo nomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT maiorinomariaida nomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT capuanoannalisa nomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT cozzolinodomenico nomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT petrizzomichela nomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT bellastellagiuseppe nomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients AT giuglianodario nomogramtoestimatethehba1cresponsetodifferentdpp4inhibitorsintype2diabetesasystematicreviewandmetaanalysisof98trialswith24163patients |