Evidence map›Paper›PMID 39953544›Full record

ArticleLipids in health and disease2025

Association of triglyceride-glucose index and derived indices with cataract in middle-aged and elderly Americans: NHANES 2005-2008.

Bin Wei, Xin Hu, Ben-Liang Shu, Qin-Yi Huang, Hua Chai, Hao-Yu Yuan, Lin Zhou, Yi-Chong Duan, Li-Li Yao, Zhuo-Er Dong and 1 more

Abstract read
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Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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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

9 citing papers in PubMed.

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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

11 authors.

Bin Wei *The 1st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Xin Hu *The 1st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Ben-Liang ShuThe 1st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Qin-Yi HuangThe 1st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Hua ChaiThe 1st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Hao-Yu YuanThe 1st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Lin ZhouThe 1st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Yi-Chong DuanThe 1st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Li-Li YaoThe 1st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Zhuo-Er DongThe 1st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Xiao-Rong WuThe 1st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China. wxr98021@126.com.

Funding

the National Natural Science Foundation of China 82160207the Science and Key Projects of Jiangxi Youth Science Fund 20202ACBL216008the Technology Plan of Jiangxi Provincial Health and Health Commission 202130156
6 · The paper itself

Abstract

aimExplore the relationship between the triglyceride-glucose (TyG) index, along with its derivative indices, and the prevalence of cataracts.

methodsData from 20,497 participants in the 2005-2008 National Health and Nutrition Examination Survey (NHANES) were compiled. A final total of 4,499 individuals met the eligibility criteria. Cataract presence was assessed through a self-reported history of cataract surgery. The TyG index and its derivatives-TyG-waist-to-height ratio (WHtR), TyG-neutrophil-to-lymphocyte ratio (NLR), TyG-monocyte-to-lymphocyte ratio (MLR), TyG-log platelet-to-lymphocyte ratio (lgPLR), TyG-log systemic inflammation index (lgSII), and TyG-systemic inflammation response index (SIRI)-were calculated. Statistical analyses included multivariable logistic regression, restricted cubic spline (RCS) curves for nonlinear relationships, and receiver operating characteristic (ROC) analysis.

resultsHigher TyG indices were significantly associated with cataract presence (P < 0.001). Specifically, TyG-WHtR, TyG-NLR, TyG-lgPLR, TyG-lgSII, and TyG-SIRI exhibited positive correlations with cataract prevalence, even after adjustment for potential confounders (odds ratio [OR] = 1.17; 95% confidence interval [CI]: 1.01, 1.37; P = 0.0403; [OR] = 1.01; 95% [CI]: 1.00, 1.02; P = 0.0258; [OR] = 1.08; 95% [CI]: 1.01, 1.16; P = 0.0223; [OR] = 1.08; 95% [CI]: 1.03, 1.14; P = 0.001; [OR] = 1.02; 95% [CI]: 1.00, 1.04; P = 0.0120). Furthermore, the stratified analysis showed that in the 61-85 age group, TyG-lgPLR and TyG-lgSII remained positively associated with cataract prevalence ([OR] = 1.09; 95% [CI]: 1.01, 1.17; P = 0.024; [OR] = 1.08; 95% [CI]: 1.02, 1.13; P = 0.005). RCS analysis revealed a linear association between these indices and cataracts, with no apparent threshold effect. ROC analysis indicated that TyG-MLR demonstrated the highest predictive ability for cataract presence.

conclusionThe study results indicate a positive association between TyG-related indicators and cataract the prevalence of cataracts in middle-aged and elderly individuals, suggesting that these markers may serve as practical biomarkers for identifying high-risk individuals. Early detection and management of metabolic and inflammatory factors could contribute to effective preventive strategies for cataract development in the elderly population.

Indexed as

Blood GlucoseCataractTriglyceridesAgedFemaleHumansLymphocytesMaleMiddle AgedNeutrophilsNutrition SurveysPrevalenceROC CurveUnited StatesBlood GlucoseTriglyceridesCataractMetabolic syndromeTyG

Identifiers

PMID39953544
PMCPMC11827319

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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.