Evidence map›Paper›PMID 35689232›Full record

ArticleCardiovascular diabetology2022

Triglyceride-glucose index variability and incident cardiovascular disease: a prospective cohort study.

Haibin Li, Yingting Zuo, Frank Qian, Shuohua Chen, Xue Tian, Penglian Wang, Xia Li, Xiuhua Guo, Shouling Wu, Anxin Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cardiovascular diabetology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 3 pooled it
24.3field-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

111 citing papers in PubMed, 3 syntheses or guidelines pooled it, 168 citations in OpenAlex.

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

51 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

10 authors at 4 institutions in 3 countries.

Haibin Li *Department of Cardiac Surgery, Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Yingting Zuo *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Frank QianDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Shuohua ChenDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Xue TianDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Penglian WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xia LiDepartment of Mathematics and Statistics, La Trobe University, Melbourne, VIC, Australia.
Xiuhua GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Shouling WuDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China. drwusl@163.com.ORCID 0000-0001-7095-6022
Anxin WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. wanganxin@bjtth.org.ORCID 0000-0003-4351-2877
Capital Medical University · CNNorth China University of Science and Technology · CNBeth Israel Deaconess Medical Center · USLa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies have suggested that triglyceride-glucose (TyG) index is an independent predictor of cardiovascular disease (CVD). However, the impact of long-term visit-to-visit variability in TyG index on the risk of CVD is not known. We aimed to investigate the longitudinal association between baseline and mean TyG index as well as TyG index variability and incident CVD in a Chinese population.

methodsWe included 49,579 participants without previous history of CVD in the Kailuan study who underwent three health examinations (2006, 2008, and 2010) and were followed up for clinical events until 2019. TyG index was calculated as Ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. We measured TyG index variability as the SD of the residuals obtained from a linear regression on the three TyG index measurements for each individual. Multivariate-adjusted Cox models were used to estimate the adjusted hazard ratio (aHR) and 95% confidence interval (CI) with incident CVD.

resultsDuring a median follow-up time of 9.0 years, 2404 developed CVD. The highest tertile (T3) of baseline and mean TyG index were each associated with higher CVD incidence as compared with the lowest tertile (T1): aHR, 1.25; 95% CI 1.11-1.42; and aHR 1.40; 95% CI 1.24-1.58, respectively. Tertile 3 of TyG index variability was associated with increased CVD incidence compared to T1 group (aHR, 1.12; 95% CI 1.01-1.24). Similar findings were observed in a series of sensitivity analyses.

conclusionHigher TyG index level and greater TyGindex variability were each independently associated with a higher incidence of CVD.

Indexed as

Cardiovascular DiseasesBiomarkersBlood GlucoseGlucoseHumansProspective StudiesRisk AssessmentRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesCardiovascular diseaseCohort studyTriglyceride-glucose indexVariability

Identifiers

PMID35689232
PMCPMC9188105
OpenAlexW4281675919

What OpenQuestion 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 OpenQuestion graph.