Evidence map›Paper›PMID 42668779›Full record

ArticleInternational journal of endocrinology2026

Associations of Five Insulin Resistance-Related Indices With Gout Risk in the 2007-2018 NHANES Cross-Sectional Study.

Kewei Yang, Kongming Yang, Yuhan Liu, Qin Wang, Nan Zhang, Yuanping Yin

Abstract read
In one paragraph

Article in International journal of endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Kewei YangLiaoning University of Traditional Chinese Medicine, Shenyang, China, lnutcm.edu.cn.ORCID https://orcid.org/0009-0001-4873-7293
Kongming YangLiaoning University of Traditional Chinese Medicine, Shenyang, China, lnutcm.edu.cn.ORCID https://orcid.org/0009-0008-1089-0672
Yuhan LiuLiaoning University of Traditional Chinese Medicine, Shenyang, China, lnutcm.edu.cn.
Qin WangLiaoning University of Traditional Chinese Medicine, Shenyang, China, lnutcm.edu.cn.ORCID https://orcid.org/0009-0009-1803-7913
Nan ZhangLiaoning University of Traditional Chinese Medicine, Shenyang, China, lnutcm.edu.cn.
Yuanping YinLiaoning University of Traditional Chinese Medicine, Shenyang, China, lnutcm.edu.cn.ORCID https://orcid.org/0009-0003-1228-8152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigated the associations between five insulin resistance (IR)-related surrogate indices and gout and compared their associations and discriminative abilities for gout. The indices included the triglyceride-glucose (TyG) index, TyG combined with body mass index (TyG-BMI), lipid accumulation product (LAP), visceral adiposity index (VAI), and metabolic score for insulin resistance (METS-IR). Methods: Data from the 2007-2018 National Health and Nutrition Examination Survey (NHANES) were analyzed. Comparisons between the gout and nongout groups were performed using Results: Among 14,582 participants (4.80% with gout), adjusted analyses identified the highest METS-IR quartile as the strongest predictor of gout (adjusted OR = 2.823, 95%CI 1.643-4.851), followed by TyG-BMI (OR = 2.290, 95%CI 1.555-3.373). Restricted cubic splines revealed nonlinear associations of TyG and LAP with gout risk, contrasting with linear trends for TyG-BMI, VAI, and METS-IR. Subgroup analyses suggested that elevated TyG and VAI were positively associated with gout in nondiabetic individuals (interaction Conclusion: All five IR-related indices showed positive associations with gout, particularly in those with central obesity. These indices showed modest discriminative ability for gout, and further validation is needed.

Indexed as

central obesitycross-sectional studygoutinsulin resistancemetabolic syndrome

Identifiers

PMID42668779
PMCPMC13525479

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.