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

J Family Med Prim Care

Student, Alchemist Research and Data Analysis, Medical Director and Lead Epidemiologist at PGI, Chandigarh, India.

Published: May 2022

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254795PMC
http://dx.doi.org/10.4103/jfmpc.jfmpc_1319_21DOI Listing

Publication Analysis

Top Keywords

anti-diabetic drugs
16
network meta-analysis
16
glyburide insulin
16
gestational age
12
compared glyburide
12
metformin compared
12
neonatal maternal
8
maternal outcomes
8
birth weight
8
large gestational
8

Similar Publications

Emerging role of adaptive immunity in diabetes-induced cognitive impairment: from the periphery to the brain.

Metab Brain Dis

January 2025

National Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine, Jinghai District, Tianjin, 301617, China.

Diabetic cognitive impairment (DCI) is a central nervous system complication induced by peripheral metabolic dysfunction of diabetes mellitus. Cumulative studies have shown that neuro-immune crosstalk is involved in the pathological progression of DCI. However, current studies mostly focus on the interaction between innate immunity cells and neurons, while ignoring the role of adaptive immunity cells in DCI.

View Article and Find Full Text PDF

Metformin (MET), a commonly prescribed medication for managing type 2 diabetes, has demonstrated various beneficial effects beyond its primary anti-diabetic efficacy. However, the mechanism underlying MET activity and its distribution within organelles remain largely unknown. In this study, we integrate multiple technologies, including chemical labeling, immunostaining, and high-resolution microscopy imaging, to visualize the accumulation of MET in organelles of cultured cells.

View Article and Find Full Text PDF

Research conducted in India has shown that there is a high prevalence of non-diabetic kidney disease (NDKD) among Indian patients. Sodium-glucose co-transporter 2 inhibitors (SGLT2i) are emerging as potential treatments for preventing the progression of chronic kidney disease to advanced stages, regardless of their anti-diabetic effects. Dapagliflozin, which has been approved by the Central Drugs Standard Control Organization, is the SGLT2i drug class approved for use in both DKD and NDKD patients.

View Article and Find Full Text PDF

Nanotechnology has experienced significant advancements, attracting considerable attention in various biomedical applications. This innovative study synthesizes and characterizes Ge/PLA/AuNCs (gelatin/PLA/gold nanocomposites) using Syzygium cumini extract to evaluate their various biomedical applications. The UV-Visible spectroscopy results in an absorption peak at 534 nm were primarily confirmed by Ge/PLA/AuNCs synthesis.

View Article and Find Full Text PDF

Aims: Hyperglycaemic conditions increase cardiac stress, a common phenomenon associated with inflammation, aging, and metabolic imbalance. Sodium-glucose cotransporter 2 inhibitors, a class of anti-diabetic drugs, showed to improve cardiovascular functions although their mechanism of action has not yet been fully established. This study investigated the effects of empagliflozin on cardiomyocytes following high glucose exposure, specifically focusing on inflammatory and metabolic responses.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!