Evidence map›Paper›PMID 36805696›Full record

ArticleDiabetology & metabolic syndrome2023

Atherosclerosis indexes and incident T2DM in middle-aged and older adults: evidence from a cohort study.

Xin Wu, Yu Gao, Miyuan Wang, Hongye Peng, Di Zhang, Biyuan Qin, Liang Pan, Guolong Zhu

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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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3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

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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

8 authors at 6 institutions in 1 country.

Xin Wu *Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, 518028, China.
Yu Gao *College of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Miyuan Wang *School of Public Health, Huazhong University of Science and Technology, Wuhan, 430074, China.
Hongye PengGraduate School, Beijing University of Chinese Medicine, Beijing, 100029, China.
Di ZhangChengdu University of Traditional Chinese Medicine, Sichuan, 610075, China.
Biyuan QinDepartment of Science & Education, Deyang People's Hospital, Sichuan, 618000, China.
Liang PanPhase 1 Clinical Trial Center, Deyang People's Hospital, Sichuan, 618000, China. pandruid@163.com.
Guolong ZhuCollege of Traditional Chinese Medicine, Three Gorges University & Yichang Hospital of Traditional Chinese Medicine, Hubei, 443003, China. 862218962@qq.com.
Beijing University of Chinese Medicine · CNDeyang Stomatological Hospital · CNChengdu University of Traditional Chinese Medicine · CNChina Three Gorges University · CNHuazhong University of Science and Technology · CNShenzhen Maternity and Child Healthcare Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is an expanding global health problem, requiring effective methods for predicting and diagnosing in its early stages of development. Previous studies reported the prognostic value of the atherosclerosis indexes in both cardiovascular diseases and T2DM. However, the predictive performance of Non-HDL-C, AI, AIP, TG/HDL-C and LCI indexes on the risk of T2DM remains unclear. This study aims to compare the five atherosclerosis indexes for predicting T2DM in middle-aged and elderly Chinese.

methodsData are collected from wave 2011 and wave 2015 of China Health and Retirement Longitudinal Study (CHARLS). Multi-variate logistic regression models were used to estimate odds ratio (OR) with 95% confidence interval (CI) of incident T2DM with five atherosclerosis indexes, and the restricted cubic splines were used to visualize the dose-response relationships. Receiver operating characteristic (ROC) curve was drawn and the areas under the curve (AUC) were used to compare the performance of the five atherosclerosis indexes in predicting T2DM.

resultsA total of 504 (10.97%) participants had T2DM. Multi-variate logistic regression analysis showed that five atherosclerosis indexes were associated with T2DM, with adjusted ORs (95% CIs) of 1.29 (1.15-1.45), 1.29 (1.18-1.42), 1.45 (1.29-1.62), 1.41 (1.25-1.59) and 1.34 (1.23-1.48) for each IQR increment in Non-HDL-C, TG/HDLC, AI, AIP and LCI, respectively. Restricted cubic spline regression showed a nonlinear correlation between five atherosclerosis indexes and the risk of T2DM (p for nonlinear < 0.001). According to the ROC curve analysis, LCI had the highest AUC (0.587 [0.574-0.600]).

conclusionWe found that LCI, compared with other indexes, was a better predictor in the clinical setting for identifying individuals with T2DM in middle-aged and elderly Chinese. LCI monitoring might help in the early identification of individuals at high risk of T2DM.

Indexed as

Atherosclerosis indexesCohort studyInsulin resistanceLipid comprehensive indexType 2 diabetes mellitus

Identifiers

PMID36805696
PMCPMC9938576
OpenAlexW4321200482

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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.