Evidence mapPaperPMID 39846306Full record

ArticleJournal of the American Heart Association2025

Association Between Triglyceride-Glucose Index and Carotid Plaque Stability in Different Glycemic Status: A Single-Center Retrospective Study.

Guijun Huo, Jin Zheng, Junjie Cao, Lili Zhang, Zhichao Yao, Yuqi Zeng, Yao Tang, Zhanao Liu, Ziyi Tan, Dayong Zhou

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
field-weighted citation impact
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.

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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

10 authors.

Guijun HuoThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Jiangsu China.ORCID 0009-0002-9141-7786
Jin ZhengThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Jiangsu China.
Junjie CaoThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Jiangsu China.
Lili ZhangThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Jiangsu China.
Zhichao YaoThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Jiangsu China.ORCID 0009-0006-6236-248X
Yuqi ZengThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Jiangsu China.
Yao TangThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Jiangsu China.
Zhanao LiuThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Jiangsu China.
Ziyi TanThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Jiangsu China.
Dayong ZhouThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Jiangsu China.ORCID 0009-0009-0726-685X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index has been proposed as a reliable marker of insulin resistance. However, its value in patients with carotid plaque stability remains unclear. This study investigated the association between the TyG index and unstable carotid plaque.

methodsA total of 12 068 participants were enrolled. Carotid ultrasound was used to determine the stability of carotid plaque. Logistic regression was used to analyze the relationship between the TyG index and unstable carotid plaque. The relationship between the TyG index and unstable carotid plaque was evaluated according to sex, age, and glucose metabolism states. Further, the dose-response relationship between the TyG index and unstable carotid plaque was also determined by restrictive cubic splines.

resultsOf the 12 068 participants, 11 601 had stable carotid plaque and 467 had unstable carotid plaque. In several different adjustment models, the TyG index is significantly related to the risk of unstable carotid plaque. The association between the TyG index and an unstable carotid plaque was similar between men and women, despite the fact that the odds ratio (OR) tended to be higher in men (OR, 2.80 [95% CI, 2.04-3.83]) than women (OR, 2.07 [95% CI, 1.51-2.82]), and higher in older patients (aged >60 years; (OR, 3.59 [95% CI, 2.74-4.70]) than middle-aged patients (aged ≤60 years) (OR, 2.00 [95% CI, 1.36-2.95]). The TyG index of patients with different glycemic status was significantly correlated with the risk of unstable carotid plaque, among which the OR value of diabetes (OR, 2.51 [95% CI, 1.87-3.36]) was the highest. The restrictive cubic spline analysis indicated a nonlinear relationship between the TyG index and unstable carotid plaque, with TyG index >8.63 identified as an independent risk factor for unstable carotid plaque.

conclusionsThe TyG index has a significant association with unstable carotid plaque. The association between the TyG index and unstable carotid plaque is similar between men and women, and the association in older patients is higher than that in middle-aged patients. In different glycemic status, the association between the TyG index and unstable carotid plaque is highest in patients with diabetes.

Indexed as

Blood GlucoseCarotid ArteriesCarotid Artery DiseasesPlaque, AtheroscleroticTriglyceridesAgedBiomarkersFemaleHumansInsulin ResistanceMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsUltrasonographyBiomarkersBlood GlucoseTriglyceridescarotid plaque stabilityfasting plasma glucosetriglycerideTyG indexunstable carotid plaque

Identifiers

PMID39846306
PMCPMC12074782

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.