Evidence map›Paper›PMID 35311243›Full record

ArticleFrontiers in endocrinology2022

Triglyceride Glucose Index Is More Closely Related to Hyperuricemia Than Obesity Indices in the Medical Checkup Population in Xinjiang, China.

Mayina Kahaer, Bei Zhang, Wujin Chen, Meiting Liang, Yi He, Miao Chen, Rui Li, Tingting Tian, Cheng Hu, Yuping Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
6.9field-weighted citation impact, top 2% of its field
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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Associations Between Dietary Diversity Score and Adiposity Indexes in Obese AdolescentsJournal of clinical research in pediatric endocrinology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 2 institutions in 1 country.

Mayina KahaerSchool of Public Health, Xinjiang Medical University, Urumqi, China.
Bei ZhangDepartment of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Wujin ChenDepartment of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Meiting LiangDepartment of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Yi HeDepartment of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Miao ChenDepartment of Rheumatology and Immunology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Rui LiDepartment of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Tingting TianDepartment of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Cheng HuShanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Yuping SunDepartment of Microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Xinjiang Medical University · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hyperuricemia (HUA) is a metabolic anomaly with an increased incidence rate, causing a global medical burden. Several studies have confirmed that obesity and insulin resistance (IR) are the risk factors for HUA. Reports on the predictive power of different obesity indices for HUA are limited. This study aimed to compare the association between different general, abdominal, and visceral obesity indices and markers of the IR-triglyceride glucose (TyG) index with serum uric acid (SUA) and to assess the ability of these indices to predict HUA. Methods: A total of 2243 participants were recruited from Barkol County Hospital and surrounding township hospitals in Xinjiang. Obesity indices, including the atherogenic index of plasma, cardiometabolic index, visceral adiposity index, lipid accumulation product index, a body shape index, body roundness index, waist circumference, waist-to-height ratio, body mass index, and TyG index, were divided into four quartiles. Moreover, partial correlations and logistic regression were used to analyze the association between these indices and SUA. The area under the curve (AUC) and receiver operating characteristic curves were used to analyze the predictive value of these indices for HUA. Results: After controlling for confounding variables, the association between the TyG index and HUA was stronger than that between the obesity indices in both males and females. The odds ratios (ORs) for HUA in the highest quartile of the TyG index were 2.098 (95% confidence interval, 1.555-2.831) in males and 7.788 (95% CI, 3.581-16.937) in females. For males, the AIP, CMI, VAI, LAP index, and TyG index were able to discriminate HUA, and the TyG index showed the highest AUC value of 0.586 (95% CI, 0.557-0.614; Conclusion: The TyG index was significantly related to HUA and was superior to obesity indices in identifying HUA in the medical checkup population in Xinjiang, China.

Indexed as

HyperuricemiaInsulin ResistanceChinaFemaleGlucoseHumansMaleObesityObesity, AbdominalTriglyceridesUric AcidGlucoseTriglyceridesUric Acidhyperuricemiamedical checkup populationobesity indicesserum uric acidTriglyceride glucose index

Identifiers

PMID35311243
PMCPMC8924289
OpenAlexW4214868220

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.