Evidence map›Paper›PMID 40301784›Full record

ArticleBMC cardiovascular disorders2025

Comparison of TyG and modified TyG indices in predicting coronary slow flow phenomenon.

Jing Nan, Shuai Meng, Ruofei Jia, Wei Chen, Xingsheng Yang, Hongyu Hu, Lijun Han, Zening Jin

Abstract readComparative Study
PubMed Full text at PMC Publisher
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Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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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

3 citing papers in PubMed.

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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.

Jing NanDepartment of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Shuai MengDepartment of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ruofei JiaDepartment of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wei ChenDepartment of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xingsheng YangDepartment of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Hongyu HuDepartment of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Lijun HanDepartment of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. h13522916899@163.com.
Zening JinDepartment of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronary slow flow phenomenon (CSFP) represents a common condition in patients with ischemia and non-obstructive coronary artery disease (INOCA). The triglyceride-glucose index (TyG) and relative modified indices have been established to be associated with CSFP. However, comparison of the clinical value of TyG and its modified indices in predicting CSFP has not been evaluated. MATERIALS AND

methodsINOCA patients were retrospectively enrolled. According to the corrected TIMI counts, the patients were divided into the CSFP group and the non-CSFP group. A total of 4,627 patients were enrolled in our study. Among them, 69 patients were divided into the CSFP group, while 586 patients were divided into the non-CSFP group. Demographic, clinical risk factors, and laboratory results, including TyG and its modified indices, were compared between the two groups. The prognostic value of TyG and its modified indices in CSFP was compared using the area under the curve (AUC).

resultsMost of the demographic and clinical risk factors between CSFP patients and non-CSFP patients were comparable. For patients with CSFP, the patients were more likely to have chronic kidney disease (CKD) (39.13% vs. 20.31%, p < 0.001) and less likely to have anti-diabetic therapy (14.49% vs. 27.13%, p = 0.023). The patients with CSFP also had higher body weight index (BMI) (p < 0.001), higher levels of uric acid (UA), triglyceride (TG) (p = 0.017), total cholesterol (TC) (p = 0.016) and low-density lipoprotein cholesterol (LDL-C) (p = 0.006), homocysteine (p < 0.001) and uric acid (p < 0.002). Both TyG and its modified indices, including TyG-WC, TyG-BMI were demonstrated to be independently associated with CSFP in multi-variable logistic analysis after adjusting other co-variables.Further receiver operating characteristic (ROC) curve demonstrated that TyG-WC showed the best performance in predicting CSFP compared with other indices. Subgroup analysis revealed that the predictive value of TyG-WC in CSFP was consistent in different subgroups except that the predictive value was better in male patients compared with female patients,

conclusionsOur investigation reveals that TyG, TyG-WC and TyG-BMI were independent risk factors for CSFP. TyG-WC showed a better predictive performance than other indices in predicting CSFP.

Indexed as

Blood GlucoseCoronary Artery DiseaseCoronary CirculationNo-Reflow PhenomenonTriglyceridesAgedBiomarkersFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesRisk AssessmentRisk FactorsBiomarkersBlood GlucoseTriglyceridesCoronary slow flow phenomenalIschemia with no obstructive coronary arteryTriglyceride glucose ratioTriglyceride glucose ratio- waist circumference

Identifiers

PMID40301784
PMCPMC12042596

What Socratic holds

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Registered trials

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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.