ArticleLipids in health and disease2025
The association between different lipid indices and hyperuricemia in older adults: a cross-sectional study.
Article in Lipids in health and disease, 2025. 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.
- Associations of the atherogenic index of plasma and its modified indices with the incidence and progression of cardiovascular-liver-metabolic multimorbidity: a prospective cohort study from UK Biobank.Cardiovascular diabetology · 2026Article
- Oxidative dyslipidemia in early pregnancy: integrating atherogenic index of plasma (AIP) and uric acid (UA) to refine preeclampsia risk stratification.Frontiers in pharmacology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundLipid-derived composite indices demonstrate robust epidemiological associations with diverse metabolic and cardiovascular disorders due to their integrative nature; however, their relationship with hyperuricemia (HUA) in older adults remains unexplored. This research examines the links between six blood lipid indices and HUA in older Chinese adults and assesses their diagnostic accuracy for HUA association stratification.
methodsA total of 3,040 older adults from two communities in Jinan were included in this cross-sectional study. Six blood lipid indices, namely, remnant cholesterol (RC), the atherogenic index of plasma (AIP), Castelli's risk index-I (CRI-I), Castelli's risk index-II (CRI-II), the lipoprotein combination index (LCI), and the atherogenic index (AI), were calculated from the physical examination data. To assess the associations between these lipid indices and HUA, multivariate logistic regression, restricted cubic spline (RCS) analysis, and subgroup analyses were performed. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic accuracy of each lipid index for the overall cohort, male participants, and female participants, with assessments using multiple metrics.
resultsHUA was diagnosed in 484 participants. Significant positive associations were observed between all the composite lipid indices and HUA. A nonlinear association pattern between the LCI and HUA was identified through RCS analysis, whereas linear relationships were observed for the remaining indices. Subgroup analyses revealed consistent directional associations between lipid indices and HUA across all stratified groups. ROC curve analysis demonstrated that the AIP had optimal diagnostic accuracy for HUA in both the overall cohort and the female subgroup, whereas the LCI exhibited superior discriminatory performance among males.
conclusionThis research revealed statistically significant associations between multiple lipid indices and HUA, with the LCI demonstrating a nonlinear relationship with HUA. The ROC analysis revealed modest diagnostic accuracy across these indices (AUC range: 58.14%-66.03%).
Indexed as
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.