ArticleThe practising midwife2024
Gestational Diabetes Mellitus Prevention: A Commentary.
Article in The practising midwife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Construction of an interpretable machine learning model for predicting gestational diabetes mellitus based on 45 dietary nutrients.BioData mining · 2026Article
- Cardiovascular Health Optimization Through Life's Essential 8 Scores Reduces Gestational Diabetes Risk: Mediation by Platelet Activity and Inflammatory Pathways in a Nationwide Cohort.International journal of women's health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Gestational diabetes mellitus (GDM) poses a significant global health challenge, with a prevalence ranging from 10-25%, making it one of the most prevalent complications of pregnancy. The rates vary across countries, ethnicities, and diagnostic thresholds. In the UK alone, GDM affects approximately 35,000 pregnancies annually, reflecting an escalating trend. Elevated blood glucose levels in pregnancy exhibit a linear correlation with adverse maternal and neonatal outcomes, contributing to complications such as large for gestational age babies, increased caesarean section rates, shoulder dystocia, neonatal hypoglycaemia, intensive care admissions, and stillbirth. While any woman can develop GDM, well-established risk factors include a body mass index (BMI) above 30, maternal age over 40, previous GDM instances, a history of delivering babies weighing over 4.5kg, and specific ethnic backgrounds. This commentary discusses the Cochrane umbrella review by Griffith et al. (2020), which evaluates the effectiveness of various lifestyle-focused interventions commonly employed for GDM prevention. Given the multitude of risk factors, early interventions before or during pregnancy hold promise in mitigating the likelihood of GDM development.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.