Evidence mapPaperPMID 33435964Full record

Observational studyCardiovascular diabetology2021

Triglyceride-glucose index is associated with the risk of myocardial infarction: an 11-year prospective study in the Kailuan cohort.

Xue Tian, Yingting Zuo, Shuohua Chen, Qian Liu, Boni Tao, Shouling Wu, Anxin Wang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Cardiovascular diabetology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 6 pooled it
35.2field-weighted citation impact, top 1% 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.

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

136 citing papers in PubMed, 6 syntheses or guidelines pooled it, 282 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Article

76 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Xue TianChina National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Beijing, 100070, China.
Yingting ZuoChina National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Beijing, 100070, China.
Shuohua ChenDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, 57 Xinhua East Rd, Tangshan, 063000, China.
Qian LiuGraduate School, North China University of Science and Technology, Tangshan, China.
Boni TaoSchool of Public Health, North China University of Science and Technology, Tangshan, China.
Shouling WuDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, 57 Xinhua East Rd, Tangshan, 063000, China. drwusl@163.com.
Anxin WangChina National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Beijing, 100070, China. wanganxin@bjtth.org.ORCID 0000-0003-4351-2877
North China University of Science and Technology · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index, which is a simple surrogate marker of insulin resistance, has been suggested as a contributor of cardiovascular disease. However, evidence on the effect of long-term elevation of the TyG index exposure on myocardial infarction (MI) is limited. The current study aimed to evaluate the association of baseline and long-term elevation of the TyG index exposure with the risk of MI.

methodsA total of 98,849 participants without MI at baseline (2006) were enrolled from the Kailuan study. The baseline TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The long-term TyG index was characterized in two ways as follows. The updated mean TyG index was calculated as the mean of TyG index at all previous visits before MI occurred or the end of follow-up; alternatively, the TyG index was calculated as the number of visits with a high TyG index in 2006, 2008, and 2010, ranging from 0 (no exposure) to 3 (had high TyG index at all three study visits). Hazard ratio (HR) and 95% confidence interval (CI) was estimated using multivariable Cox proportion hazard models.

resultsDuring a median follow-up of 11.03 years, 1555 incident MI occurred. In the multivariable-adjusted model, the risk of MI increased with quartiles of the baseline and updated mean TyG index, the HR in quartile 4 versus quartile 1 was 2.08 (95% CI,1.77-2.45) and 1.58 (1.18-2.12), respectively. Individuals with a high TyG index at all three visits had a 2.04-fold higher risk (95% CI, 1.63-2.56) of MI compared with no exposure. Subgroup analyses showed that the associations were more pronounced in women than in men (P

conclusionsElevated levels of the baseline and long-term TyG index are associated with an increased risk of MI. This finding indicates that the TyG index might be useful in identifying people at high risk of developing MI.

Indexed as

Insulin ResistanceAdolescentAdultAgedAged, 80 and overBiomarkersBlood GlucoseChinaFemaleHumansIncidenceMaleMiddle AgedMyocardial InfarctionPrognosisProspective StudiesBiomarkersBlood GlucoseTriglyceridesLong-term exposureMyocardial infarctionRisk factorTriglyceride glucose indexUpdated mean

Identifiers

PMID33435964
PMCPMC7802156
OpenAlexW3118935644

What Socratic holds

Textmetadata
LicenceCC BY
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.