Evidence map›Paper›PMID 38760656›Full record

ArticleLipids in health and disease2024

Nonlinear association of triglyceride-glucose index with hyperuricemia in US adults: a cross-sectional study.

Linjie Qiu, Yan Ren, Jixin Li, Meijie Li, Wenjie Li, Lingli Qin, Chunhui Ning, Jin Zhang, Feng Gao

Abstract read
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Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Linjie Qiu *Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yan Ren *Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Jixin Li *Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Meijie LiXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Wenjie LiShanxi University of Chinese Medicine, Taiyuan, Shanxi, China.
Lingli QinXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Chunhui NingXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Jin ZhangXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China. zjmzy2000@hotmail.com.
Feng GaoXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China. gf951028@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite abundant evidence on the epidemiological risk factors of metabolic diseases related to hyperuricemia, there is still insufficient evidence regarding the nonlinear relationship between triglyceride-glucose (TyG) index and hyperuricemia. Thus, the purpose of this research is to clarify the nonlinear connection between TyG and hyperuricemia.

methodsFrom 2011 to 2018, a cross-sectional study was carried out using data from the National Health and Nutrition Examination Survey (NHANES). This study had 8572 participants in all. TyG was computed as Ln [triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. The outcome variable was hyperuricemia. The association between TyG and hyperuricemia was examined using weighted multiple logistic regression, subgroup analysis, generalized additive models, smooth fitting curves, and two-piecewise linear regression models.

resultsIn the regression model adjusting for all confounding variables, the OR (95% CI) for the association between TyG and hyperuricemia was 2.34 (1.70, 3.21). There is a nonlinear and reverse U-shaped association between TyG and hyperuricemia, with a inflection point of 9.69. The OR (95% CI) before the inflection point was 2.64 (2.12, 3.28), and after the inflection point was 0.32 (0.11, 0.98). The interaction in gender, BMI, hypertension, and diabetes analysis was statistically significant.

conclusionAdditional prospective studies are required to corroborate the current findings, which indicate a strong positive connection between TyG and hyperuricemia among adults in the United States.

Indexed as

Blood GlucoseHyperuricemiaTriglyceridesAdultAgedCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedNutrition SurveysRisk FactorsUnited StatesBlood GlucoseTriglyceridesCross-sectional studyHyperuricemiaNHANESNonlinearTriglyceride-glucose index

Identifiers

PMID38760656
PMCPMC11100171

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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.