ArticleEndocrine, metabolic & immune disorders drug targets2024
Accuracy of Fasting Blood Glucose and Body Mass Index in Predicting Gestational Diabetes Mellitus in China.
Article in Endocrine, metabolic & immune disorders drug targets, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundResearch suggests that lowering maternal morbidities associated with gestational diabetes mellitus (GDM) can be achieved with earlier risk group identification.
aimsTherefore, the purpose of this study was to examine potential markers for identifying first-trimester pregnant women who are at high risk for developing GDM.
methodsThis was a retrospective cohort study. The pertinent maternal clinical data were retrieved prior to 13+6 weeks of gestation, and a binary logistic regression analysis was used to identify potential GDM predictors. The predictive accuracy was evaluated using the area below the receiver operating characteristics curves.
resultsIn comparison to the control group, the GDM group had significantly higher mean values for age, body mass index (BMI), mean fasting blood glucose (FBG), and hemoglobin (p < 0.05). The Pearson's correlation coefficients indicated that the first-trimester FBG was significantly positively correlated with the second-trimester FBG. Higher FBG and BMI values were associated with an increased risk of developing GDM (odds ratio (OR) = 3.04, 95% confidence interval [CI] = 2.03-4.55 and OR = 1.18, 95% CI = 1.12-1.25). In terms of predicting GDM, the FBG parameter demonstrated the greatest area under the curve values (0.66), followed by the BMI parameter (0.69). For GDM prediction, the cut-off value for FBG was 4.32 mM, whereas that for BMI was 23.7 kg/m
conclusionThe first-trimester FBG and BMI could be utilized to predict gestational diabetes.
Indexed as
Identifiers
37929734What OpenQuestion 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 OpenQuestion graph.