Evidence map›Paper›PMID 42297384›Full record

ArticleThe Journal of international medical research2026

Association between remnant cholesterol level and gout in US adults.

Yan Xu, Jing Ye, Shuaiqing Chen

Abstract read
In one paragraph

Article in The Journal of international medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yan XuDepartment of Clinical Laboratory, Lishui Municipal Central Hospital, Fifth Affiliated Hospital of Wenzhou Medical University, China.
Jing YeDepartment of Cardiology, Lishui Hospital of Traditional Chinese Medicine, China.
Shuaiqing ChenDepartment of Cardiology, Lishui Hospital of Traditional Chinese Medicine, China.ORCID 0009-0008-6033-6039

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundGout is a common metabolic condition defined by high levels of uric acid in the blood and is linked to notable comorbidities. Despite extensive research on lipid metabolism and gout, the relationship between levels of remnant cholesterol, a non-traditional lipid marker, and gout remains unexplored.MethodsIn this cross-sectional analysis, a total of 11,685 adults aged ≥20 years were selected from the National Health and Nutrition Examination Survey datasets spanning 2007 to 2018. To investigate the link between remnant cholesterol level and gout, multivariate logistic regression models were employed, adjusting for demographic, lifestyle, and health-related covariates. Dose-response associations were examined using restricted cubic spline analysis, and subgroup analyses were performed to examine potential effect modifiers. In addition, mediation analyses were conducted to assess whether body mass index and serum uric acid levels partially mediated the observed association.ResultsElevated remnant cholesterol levels showed a significant relationship with a higher prevalence of gout (odds ratio = 1.01, 95% confidence interval: 1.01-1.02, per 1-mg/dL increase in remnant cholesterol level). Participants in the top quartile of remnant cholesterol level had 65% greater odds of gout than those in the bottom quartile (odds ratio = 1.65, 95% confidence interval: 1.24-2.19,

Indexed as

CholesterolGoutLipoproteinsTriglyceridesAdultAgedBiomarkersBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsBiomarkersCholesterolLipoproteinsremnant-like particle cholesterolTriglyceridesUric Acidbody mass indexgoutNational Health and Nutrition Examination SurveyRemnant cholesterolserum uric acid

Identifiers

PMID42297384
PMCPMC13269951

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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.