Evidence map›Paper›PMID 36277703›Full record

ArticleFrontiers in endocrinology2022

Association of obesity, triglyceride-glucose and its derivatives index with risk of hyperuricemia among college students in Qingdao, China.

Shizhe Zhou, Yajie Yu, Zengxiao Zhang, Lidan Ma, Can Wang, Min Yang, Xiaoyu Cheng, Tian Liu, Ruixia Sun, Ying Chen

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 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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.

Shizhe ZhouDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.
Yajie YuDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.
Zengxiao ZhangDepartment of Medicine, Qingdao University, Qingdao, China.
Lidan MaDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.
Can WangDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.
Min YangDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.
Xiaoyu ChengDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.
Tian LiuDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.
Ruixia SunDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.
Ying ChenDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.
Affiliated Hospital of Qingdao University · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze and compare the associations of hyperuricemia (HUA) with obesity, triglyceride-glucose (TyG), and its derivatives in college students. To provide early guidance on risk predictors of HUA in college students. Methods: This study was a cross-sectional survey including 23,411 participants (age: 17-20 years). Investigators conducted face-to-face interview surveys and physical examinations. Automated biochemical methods were used to detect biochemical indicators such as serum uric acid (UA). Calculation of obesity, TyG, and their derivatives indices were performed. Logistic regression was used to analyze the relationship between different indexes and hyperuricemia. OR value and 95% CI were also calculated. ROC curve was used for assessing the predictive ability of different indices of hyperuricemia. Results: After adjusting for age, SBP, DBP, ALT, AST, TC, BUN, and CREA, multivariate logistic regression showed that the OR value of LAP in the obesity index was higher, especially in women (male OR: 4.347, 95%CI: 3.807, 4.964; female OR: 4.672, 95%CI: 3.800, 5.744). The other three quartiles of TyG derivatives were highly associated with hyperuricemia in men and women compared with the top quartile (all P< 0.05). The risk of hyperuricemia increased with an increase in quartiles. For college students, all indicators could distinguish the presence of hyperuricemia. For men, the area under the curve (AUC) of TyG-WC was the largest (AUC: 0.694; 95%CI: 0.684-0.704; P<0.05), according to the Maximum Youden index 0.290 with cut point value 477.853. In women, TyG-BMI showed a maximum AUC value of 0.702 (95%CI: 0.685-0.719; P<0.05), according to the maximum Youden index of 0.317 with cut point value 132.446. The TyG-WC, TyG-WHtR, TyG-LAP, and LAP indices also had relatively high AUC. Conclusion: In clinical practice, LAP, TYG, and their related derivatives may be used as sensitive indicators for HUA prediction in college students.

Indexed as

HyperuricemiaAdolescentAdultChinaCross-Sectional StudiesFemaleGlucoseHumansMaleObesityRisk FactorsStudentsTriglyceridesUric AcidYoung AdultGlucoseTriglyceridesUric Acidcollege studentshyperuricemiaobesityserum uric acidtriglyceride-glucose

Identifiers

PMID36277703
PMCPMC9583912
OpenAlexW4302304830

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.