ArticleJournal of clinical laboratory analysis2026
Exploring Uric Acid to HDL Ratio as a Long-Term Biomarker for Diabetes Mellitus.
Article in Journal of clinical laboratory analysis, 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetes mellitus (DM) poses a major challenge to public health worldwide. The ratio of serum uric acid to high-density lipoprotein cholesterol (UHR) has recently emerged as a promising indicator of inflammation linked to a range of cardio-metabolic conditions. However, its association with DM is not fully clear.
methodsData from 7617 individuals aged 35-65 enrolled in the Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort were followed for a decade to explore the link between UHR and diabetes onset. Logistic regression, adjusted for confounders, evaluated the association. Restricted cubic spline models captured nonlinear trends, while receiver operating characteristic (ROC) analysis identified gender-specific thresholds. All statistical procedures were performed using SPSS (v26).
resultsElevated levels of the UHR were significantly linked to a higher risk of developing DM. In the fully adjusted model, each incremental rise in UHR was associated with an odds ratio (OR) of 1.07 (95% CI [1.05-1.08], p < 0.001). Subgroup analyses also indicated consistent predictive capability across genders, and ROC analysis revealed optimal UHR thresholds of 12.74 for men (sensitivity 72.17%, specificity 47.79%, area under the curve (AUC) 0.6188) and 9.88 for women (sensitivity 59.46%, specificity 61.61%, AUC 0.6357).
conclusionThe UHR is a remarkable predictor of DM incidence over a decade-long follow-up, highlighting its potential as an early biomarker for diabetes risk assessment in clinical settings. Additional studies are needed to clarify the biological pathways linking UHR to diabetes development and to assess whether modifying this ratio could help lower disease risk.
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.