Evidence map›Paper›PMID 40346669›Full record

ArticleCardiovascular diabetology2025

Long-term dual-trajectories of TyG and LAP and their association with cardiometabolic multimorbidity in midlife: the CARDIA study.

Lingqu Zhou, Junjie Wang, Zirui Zhou, Liangjiao Wang, Qi Guo, Hui Zeng, Ziyue Zhong, Yinyin Zhang

Abstract readMulticenter Study
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 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. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Lingqu Zhou *Department of Ultrasonography and Electrocardiograms, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat‑sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Junjie Wang *Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, People's Republic of China.
Zirui Zhou *Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Road, Guangzhou, 510120, People's Republic of China.
Liangjiao WangDepartment of Ultrasonography and Electrocardiograms, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat‑sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Qi GuoDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Road, Guangzhou, 510120, People's Republic of China.
Hui ZengDepartment of Ultrasonography and Electrocardiograms, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat‑sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Ziyue ZhongDepartment of Ultrasonography and Electrocardiograms, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat‑sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Yinyin ZhangDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 West Yanjiang Road, Guangzhou, 510120, People's Republic of China. zhyinyin@mail.sysu.edu.cn.

Funding

National Natural Science Foundation of China 81900443
6 · The paper itself

Abstract

backgroundInsulin resistance and central obesity are major risk factors for cardiometabolic diseases. The triglyceride-glucose index (TyG) and lipid accumulation product (LAP) are markers that independently predict cardiometabolic risk. However, their combined long-term trajectories and impact on cardiometabolic multimorbidity (CMM) development remain unclear.

methodsThis cohort study utilized data from the Coronary Artery Risk Development in Young Adults (CARDIA) study, which tracked 3467 participants at baseline. Dual-trajectory of TyG and LAP were identified using a group-based dual-trajectory model. Cox proportional hazards models were employed to assess the relationships between dual-trajectory groups and primary cardiometabolic outcomes, including first cardiometabolic disease (FCMD), CMM (two or more conditions such as type 2 diabetes, coronary heart disease, or stroke), and all-cause mortality. Multi-state models were performed to assess the associations of dual-trajectory with CMM development.

resultsThe study included 3467 participants with a mean age of 25.08 years (SD = 3.59). Of these, 43.4% (n = 1505) were male, and 53.2% (n = 1561) were White. Three distinct dual-trajectory groups were identified: low-increasing (61.5%), high-amplitude fluctuation (7.6%), and high-increasing (30.9%). After multivariate adjustment, compared with the low-increasing group, the high-amplitude fluctuation group exhibited significantly higher risks for FCMD (hazard ratio [HR] 1.38, 95% confidence interval [CI]: 1.08-1.77), CMM (HR 2.63, 95% CI 1.21-5.71), and all-cause mortality (HR 2.16, 95% CI 1.30-3.56), as well as elevated risks for transitions from baseline to FCMD (HR 1.41, 95% CI 1.17-1.63), FCMD to CMM (HR 2.07, 95% CI 1.53-3.96), CMM to death (HR 2.87, 95% CI 1.19-7.62). The high-increasing group showed similar results.

conclusionsElevated and fluctuating trajectories of TyG and LAP from early adulthood are associated with increased risks of CMM development in midlife.

Indexed as

Blood GlucoseCardiovascular DiseasesLipidsTriglyceridesAdultAge FactorsBiomarkersCardiometabolic Risk FactorsFemaleHumansLongitudinal StudiesMaleMiddle AgedMultimorbidityPrognosisProspective StudiesBiomarkersBlood GlucoseLipidsTriglyceridesCardiometabolic multimorbidityCohort studyDual-trajectoryLipid accumulation productTriglyceride–glucose index

Identifiers

PMID40346669
PMCPMC12065194

What OpenQuestion 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 OpenQuestion graph.