ArticleCureus2026
Serum Uric Acid Levels in the First Trimester of Pregnancy and the Development of Gestational Diabetes Mellitus: A Prospective Cohort Study.
Article in Cureus, 2026. 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionGestational diabetes mellitus (GDM) is a common metabolic disorder of pregnancy associated with adverse maternal and fetal outcomes; early identification of at-risk women is essential for timely intervention. Serum uric acid (SUA) has emerged as a potential biomarker for predicting glucose intolerance during pregnancy. This study aimed to evaluate the association between first-trimester SUA levels and the subsequent development of GDM. MATERIALS AND
methodsA prospective cohort study was conducted in the Department of Obstetrics and Gynaecology of a tertiary care teaching hospital from January 2024 to December 2025. A total of 212 non-diabetic antenatal women in their first trimester were enrolled using consecutive sampling. Baseline clinical assessment, anthropometric measurements, and SUA estimation were performed at enrolment using a fully automated biochemical analyzer (Dimension RXL Max, Siemens Healthineers, Erlangen, Germany). Participants were followed until 24-28 weeks of gestation and screened for GDM using the Diabetes in Pregnancy Study Group of India (DIPSI) criteria following a 75 g oral glucose challenge. Statistical analysis was performed using SPSS v25.0 (IBM Corp., Armonk, NY). Independent t-test, chi-square test, Pearson correlation, multivariate logistic regression, and receiver operating characteristic (ROC) curve analyses were used.
resultsOf the 212 participants, 44 (20.8%) developed GDM. Women who developed GDM had significantly higher first-trimester SUA levels (5.4 ± 0.9 mg/dL vs. 3.8 ± 0.8 mg/dL; p < 0.001). SUA showed a positive correlation with second-trimester post-glucose blood sugar (r = 0.52, p < 0.001). The unadjusted odds ratio for GDM with SUA >4 mg/dL was 12.0 (95% CI: 4.8-30.0; p < 0.001). On multivariate logistic regression, elevated SUA (adjusted odds ratio [AOR] = 3.6, 95% CI: 1.8-7.1, p < 0.001), BMI ≥25 kg/m² (AOR = 2.9), and positive family history of diabetes (AOR = 2.4) were independent predictors. ROC analysis demonstrated an area under the curve (AUC) of 0.87 at a cut-off of 4.1 mg/dL (sensitivity 80%, specificity 70%).
conclusionsElevated first-trimester SUA levels are significantly associated with, and independently predict, GDM. SUA may serve as a simple, inexpensive, and widely available biomarker for early identification of women at increased risk of GDM. Large-scale multicenter studies are warranted to validate these findings and establish ethnicity-specific thresholds.
Indexed as
Identifiers
What 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.