Evidence map›Paper›PMID 41387939›Full record

ArticleEuropean journal of medical research2025

Combined triglyceride-glucose index and systemic inflammation response index are associated with coronary artery stenosis severity in acute coronary syndrome: a retrospective cohort study.

Yangfeng Xie, Jiale Zhang, Jingyun Jia, Haitian Li, Jinli Sun, Qi Liu, Kunze Li, Xiang Li, Yiru Zhao, Wenbo Han and 6 more

Abstract read
In one paragraph

Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Yangfeng Xie *The Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Jiale Zhang *Fangshan Hospital Beijing University of Chinese Medicine, No. 4 Baojian Road, Chengguan, Fangshan District, Beijing, 102400, China.
Jingyun JiaThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Haitian LiThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Jinli SunThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Qi LiuThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Kunze LiThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Xiang LiThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Yiru ZhaoThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Wenbo HanThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Shuai WangThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Wenhao JiaThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Yunxiao WangThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Jie LiThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China.
Buxing ChenThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China. chbux@126.com.
Min LiThe Third Affiliated Hospital of Beijing University of Chinese Medicine, No.51, Xiao Guan Street Outside An Ding Men, Chaoyang District, Beijing, 100029, China. limin9030@163.com.

Funding

Beijing University of Chinese Medicine Third Affiliated Hospital Natural Cultivation Project 2025-YJKT-ZRJJ-15Development Fund of Beijing University of Chinese Medicine 2025-ZXKYFZJJ-BZYSY-02
6 · The paper itself

Abstract

backgroundEarly identification of high-risk individuals for coronary artery disease (CAD) is critical, especially in acute coronary syndrome (ACS) patients who face elevated risks of adverse cardiovascular events and are in need of intensified secondary prevention. This study aimed to investigate the combined value of the triglyceride-glucose (TyG) index-a surrogate marker of insulin resistance-and the systemic inflammatory response index (SIRI), calculated as (neutrophil count × monocyte count)/ lyphocyte count, in assessing coronary artery stenosis severity, proposing a cost-effective strategy for risk stratification in ACS management.

methodsA retrospective cohort study included 415 ACS patients diagnosed by coronary angiography at Beijing University of Chinese Medicine Third Affiliated Hospital (June 2021-February 2024). Patients were stratified into low stenosis (Gensini score < 34, n = 204) and high stenosis (Gensini score ≥ 34, n = 211) groups based on the median Gensini score. Clinical parameters and inflammatory markers were analyzed using logistic regression and ROC curves.

resultsHigh stenosis group showed significantly higher TyG (1.95 vs. 1.42, P < 0.001) and SIRI (1.07 vs. 0.75, P < 0.001) than the low stenosis group. Both indices independently associated with severe stenosis (OR = 3.094 and 2.064, P < 0.001). The combined TyG-SIRI model achieved an AUC of 0.744 (sensitivity 61.61%, specificity 72.06%), outperforming individual indices (TyG: 0.715; SIRI: 0.666; Delong's test P < 0.05).

conclusionThe combination of TyG and SIRI is strongly associated with coronary stenosis severity in ACS patients, suggesting its potential as a clinically feasible, non-invasive indicator for early risk stratification.

Indexed as

Acute Coronary SyndromeBlood GlucoseCoronary StenosisInflammationTriglyceridesAgedBiomarkersCoronary AngiographyFemaleHumansMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexBiomarkersBlood GlucoseTriglyceridesAcute coronary syndromeCoronary artery stenosisInsulin resistanceSystemic inflammatory response indexTriglyceride-glucose index

Identifiers

PMID41387939
PMCPMC12817666

What Socratic holds

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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 Socratic graph.