ArticleScientific reports2025
Exploring the relationship between circadian syndrome, serum uric acid levels, and hyperuricemia: evidence from NHANES 2005-2018.
Article in Scientific reports, 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.
- Hyperuricemia as a Biomarker for Circadian Syndrome: A Cross-Sectional Study.Clocks & sleep · 2026Article
- The Molecular Mechanism of Polysaccharides fromFoods (Basel, Switzerland) · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hyperuricemia is closely linked to metabolic diseases and cardiovascular conditions, while circadian syndrome (CircS) plays a pivotal role in metabolic syndrome (MetS) and its related disorders. This study examines the relationship between CircS, serum uric acid (SUA) levels, and the risk of hyperuricemia using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. Weighted multivariable linear and logistic regression analyses were employed to assess the relationships between CircS, its components, SUA levels, and the risk of hyperuricemia, supplemented by subgroup analyses and interaction tests to understand the influence of other risk factors. Restricted cubic spline (RCS) regression was utilized to investigate potential nonlinear relationships. The study included 16,785 adults aged 20 and older, of whom 5,833 exhibited CircS and 3,572 had hyperuricemia. The weighted linear regression revealed a significant positive association between CircS and SUA levels (β = 0.108, 95% CI 0.034, 0.182; P = 0.005), with triglyceride scores showing the strongest association (β = 0.168, 95% CI 0.105, 0.231; P < 0.001). Additionally, weighted multivariable logistic regression indicated a significant link between CircS and hyperuricemia occurrence (OR = 1.227; 95% CI: 1.073, 1.402; P = 0.003), with blood pressure scores having the most substantial contribution (OR = 1.538; 95% CI: 1.347, 1.756; P < 0.001). Subgroup analyses confirmed the robustness of these correlations across various populations. RCS results demonstrated significant nonlinear relationships between CircS, SUA levels, and hyperuricemia (P < 0.001). In conclusion, this study establishes a significant positive association between CircS and both SUA levels and the risk of hyperuricemia, highlighting a notable nonlinear relationship between the two.
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.