Evidence map›Paper›PMID 38444211›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Triglyceride-glucose Index as a Valuable Marker to Predict Severity of Coronary Artery Disease: A Retrospective Cohort Study.

Xu Geng, Xi Zhang, XiaoWei Li, ChunTing Zhong, Min Hou

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06452121 (Triglyceride-glucose Index as a Marker to Predict Severity of Coronary Artery Disease), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06452121 not yet recruitingnot on this map

Triglyceride-glucose Index as a Marker to Predict Severity of Coronary Artery Disease

TypeobservationalSponsorAssiut UniversityRan2024 to 2025Enrolled150ConditionsCoronary Artery DiseaseArmstriglyceride glucose index
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

5 authors at 3 institutions in 1 country.

Xu GengDepartment of Clinical Laboratory, Chest Hospital, Tianjin University, Tianjin, China.ORCID 0000-0003-3201-0652
Xi ZhangDepartment of Clinical Laboratory, Chest Hospital, Tianjin University, Tianjin, China.
XiaoWei LiDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, China.
ChunTing ZhongPeking University Shenzhen Hospital, Shenzhen Peking University -The Hong Kong University of Science and Technology Medical Center, Shenzhen, China.
Min HouDepartment of Clinical Laboratory, Chest Hospital, Tianjin University, Tianjin, China.
Tianjin University · CNPeking University Shenzhen Hospital · CNTianjin Chest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe diagnostic standard of coronary artery disease (CAD) is coronary angiography (CAG). Since CAG is an invasive procedure underscores the need for identifying non-invasive, effective, and innovative biomarkers. Our study aimed to retrospectively analyze hematological markers for predicting the severity of CAD. METHODS AND

resultsCase data were collected from 195 CAD patients admitted to the hospital for CAG. According to Gensini score, patients were divided into mild, moderate, and severe CAD groups. Blood indexes and predictive efficacy of the triglyceride-glucose (TyG) index were retrospectively analyzed. Among 195 CAD patients, 81 had mild CAD, 60 had moderate CAD, and 54 had severe CAD. Sex, fast blood glucose (FBG), TyG index, and high-sensitivity C-reactive protein (hs-CRP) significantly differed among the three groups. The TyG index demonstrated higher values in patients with moderate (9.07[8.62-9.44]) and severe (8.98[8.46-9.45]) CAD compared to those with mild CAD (8.75[8.49-9.14]). The AUC of the TyG index was 0.615 (95% confidence interval (CI): 0.536-0.694,

conclusionsThe severity of CAD is positively correlated with an increased TyG index value. A combination of TyG, FBG, and hs-CRP has demonstrated improved diagnostic efficiency, suggesting its potential as a novel indicator for predicting and diagnosing CAD progression.

Indexed as

Coronary Artery DiseaseC-Reactive ProteinGlucoseHumansRetrospective StudiesTriglyceridesC-Reactive ProteinGlucoseTriglyceridescoronary angiographycoronary artery diseasehs-CRPtriglyceride-glucose index

Identifiers

PMID38444211
PMCPMC10916460
OpenAlexW4392522290

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.