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Comparison of neonatal and maternal outcomes of anti-diabetic drugs in the treatment of gestational diabetes mellitus: Findings from Bayesian network meta-analysis

The safety and efficacy of different anti-diabetic drugs are not clear because of the lack of sufficiently powered clinical trials. This network meta-analysis was conducted to compare the efficacy and safety of three anti-diabetic drugs (insulin, glyburide, and metformin), and rank them as per their...

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Autores principales: Shah, Mandar K., Shah, Mihika A., Shah, Sharan D., Shah, Parshwa K., Patel, Kaushal, Gupta, Mamta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254795/
https://www.ncbi.nlm.nih.gov/pubmed/35800546
http://dx.doi.org/10.4103/jfmpc.jfmpc_1319_21
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author Shah, Mandar K.
Shah, Mihika A.
Shah, Sharan D.
Shah, Parshwa K.
Patel, Kaushal
Gupta, Mamta
author_facet Shah, Mandar K.
Shah, Mihika A.
Shah, Sharan D.
Shah, Parshwa K.
Patel, Kaushal
Gupta, Mamta
author_sort Shah, Mandar K.
collection PubMed
description The safety and efficacy of different anti-diabetic drugs are not clear because of the lack of sufficiently powered clinical trials. This network meta-analysis was conducted to compare the efficacy and safety of three anti-diabetic drugs (insulin, glyburide, and metformin), and rank them as per their efficiency to control glucose levels, pregnancy, and neonatal outcomes. The study design is a systematic review, meta-analysis, and network meta-analysis. After a systematic search of existing databases, 34 randomized controlled trials were selected for inclusion in the analysis. We did pairwise network meta-analysis to calculate standardized mean difference and odds ratio (OR) as the summary measures for numerical and dichotomous variables, respectively, by using random-effects model. Our key outcomes were incidence of neonatal hypoglycemia, respiratory distress syndrome, macrosomia, C-section, admission to neonatal intensive care unit (NICU) and mean differences in the birth weight of neonates, gestational age at birth, HbA1C levels, fasting blood sugar, large at gestational age, and post-prandial glucose. It was found that metformin significantly lowered the post-prandial levels of glucose as compared with both glyburide and insulin in pairwise analysis (SMD = 14.11 [23–4.8]; SMD = 22.45 [30–14]), respectively. There was a significant reduction in birth weights of babies whose mothers were administered metformin as compared with either glyburide or insulin. The proportion of neonates admission to NICU was significantly lower for metformin when compared with insulin [Log OR = 0.334 (0.0184, 0.6814))]. Large at gestational age was significantly lower for metformin as compared with both glyburide and insulin [log OR = 0.6882 (0.171, 1.329), log OR = 0.393 (0.00179, 0.8218)], respectively. Oral anti-diabetic drugs especially metformin performed better than both glyburide and insulin for all neonatal and maternal outcomes except that it significantly lowered the neonatal birth weight.
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spelling pubmed-92547952022-07-06 Comparison of neonatal and maternal outcomes of anti-diabetic drugs in the treatment of gestational diabetes mellitus: Findings from Bayesian network meta-analysis Shah, Mandar K. Shah, Mihika A. Shah, Sharan D. Shah, Parshwa K. Patel, Kaushal Gupta, Mamta J Family Med Prim Care Review Article The safety and efficacy of different anti-diabetic drugs are not clear because of the lack of sufficiently powered clinical trials. This network meta-analysis was conducted to compare the efficacy and safety of three anti-diabetic drugs (insulin, glyburide, and metformin), and rank them as per their efficiency to control glucose levels, pregnancy, and neonatal outcomes. The study design is a systematic review, meta-analysis, and network meta-analysis. After a systematic search of existing databases, 34 randomized controlled trials were selected for inclusion in the analysis. We did pairwise network meta-analysis to calculate standardized mean difference and odds ratio (OR) as the summary measures for numerical and dichotomous variables, respectively, by using random-effects model. Our key outcomes were incidence of neonatal hypoglycemia, respiratory distress syndrome, macrosomia, C-section, admission to neonatal intensive care unit (NICU) and mean differences in the birth weight of neonates, gestational age at birth, HbA1C levels, fasting blood sugar, large at gestational age, and post-prandial glucose. It was found that metformin significantly lowered the post-prandial levels of glucose as compared with both glyburide and insulin in pairwise analysis (SMD = 14.11 [23–4.8]; SMD = 22.45 [30–14]), respectively. There was a significant reduction in birth weights of babies whose mothers were administered metformin as compared with either glyburide or insulin. The proportion of neonates admission to NICU was significantly lower for metformin when compared with insulin [Log OR = 0.334 (0.0184, 0.6814))]. Large at gestational age was significantly lower for metformin as compared with both glyburide and insulin [log OR = 0.6882 (0.171, 1.329), log OR = 0.393 (0.00179, 0.8218)], respectively. Oral anti-diabetic drugs especially metformin performed better than both glyburide and insulin for all neonatal and maternal outcomes except that it significantly lowered the neonatal birth weight. Wolters Kluwer - Medknow 2022-05 2022-05-14 /pmc/articles/PMC9254795/ /pubmed/35800546 http://dx.doi.org/10.4103/jfmpc.jfmpc_1319_21 Text en Copyright: © 2022 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Review Article
Shah, Mandar K.
Shah, Mihika A.
Shah, Sharan D.
Shah, Parshwa K.
Patel, Kaushal
Gupta, Mamta
Comparison of neonatal and maternal outcomes of anti-diabetic drugs in the treatment of gestational diabetes mellitus: Findings from Bayesian network meta-analysis
title Comparison of neonatal and maternal outcomes of anti-diabetic drugs in the treatment of gestational diabetes mellitus: Findings from Bayesian network meta-analysis
title_full Comparison of neonatal and maternal outcomes of anti-diabetic drugs in the treatment of gestational diabetes mellitus: Findings from Bayesian network meta-analysis
title_fullStr Comparison of neonatal and maternal outcomes of anti-diabetic drugs in the treatment of gestational diabetes mellitus: Findings from Bayesian network meta-analysis
title_full_unstemmed Comparison of neonatal and maternal outcomes of anti-diabetic drugs in the treatment of gestational diabetes mellitus: Findings from Bayesian network meta-analysis
title_short Comparison of neonatal and maternal outcomes of anti-diabetic drugs in the treatment of gestational diabetes mellitus: Findings from Bayesian network meta-analysis
title_sort comparison of neonatal and maternal outcomes of anti-diabetic drugs in the treatment of gestational diabetes mellitus: findings from bayesian network meta-analysis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254795/
https://www.ncbi.nlm.nih.gov/pubmed/35800546
http://dx.doi.org/10.4103/jfmpc.jfmpc_1319_21
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