Evidence map›Paper›PMID 30670053›Full record

ArticleLipids in health and disease2019

The triglyceride paradox in the mortality of coronary artery disease.

Tian-Li Xia, Yi-Ming Li, Fang-Yang Huang, Hua Chai, Bao-Tao Huang, Qiao Li, Zhen-Gang Zhao, Yan-Biao Liao, Zhi-Liang Zuo, Yong Peng and 2 more

Abstract read
In one paragraph

Article in Lipids in health and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Triglycerides, Glucose Metabolism, and Type 2 Diabetes.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Self- vs provider-referral differences for coronary artery calcium testing.American heart journal plus : cardiology research and practice · 2022
    Article
  19. Review
  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

12 authors.

Tian-Li XiaDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, Chengdu, 610041, People's Republic of China.
Yi-Ming LiWest China School of Medicine, Sichuan University, Chengdu, China.
Fang-Yang HuangDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, Chengdu, 610041, People's Republic of China.
Hua ChaiDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, Chengdu, 610041, People's Republic of China.
Bao-Tao HuangDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, Chengdu, 610041, People's Republic of China.
Qiao LiDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, Chengdu, 610041, People's Republic of China.
Zhen-Gang ZhaoDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, Chengdu, 610041, People's Republic of China.
Yan-Biao LiaoDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, Chengdu, 610041, People's Republic of China.
Zhi-Liang ZuoDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, Chengdu, 610041, People's Republic of China.
Yong PengDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, Chengdu, 610041, People's Republic of China. pengyongcd@126.com.
Mao ChenDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, Chengdu, 610041, People's Republic of China. hmaochen@vip.sina.com.
De-Jia HuangDepartment of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, Chengdu, 610041, People's Republic of China.

Funding

Major Research Plan 81370219National High-tech Research and Development Program of China 2012AA02A510Young Scientists Fund 81400267
6 · The paper itself

Abstract

backgroundThe role of triglyceride (TG) in secondary prevention of patients with coronary artery disease (CAD) was debated. In the present study, we assessed the association between admission TG levels and long-term mortality risk in CAD patients.

methodsA retrospective analysis was conducted from a single registered database. 3061 consecutive patients with CAD confirmed by coronary angiography were enrolled and were grouped into 3 categories by the tertiles of admission serum TG levels. The primary end point in this study was all-cause mortality and the secondary end point was cardiovascular mortality.

resultsThe mean follow-up time was 26.9 ± 13.6 months and death events occurred in 258 cases and cardiovascular death events occurred in 146 cases. Cumulative survival curves indicated that the risk of all-cause death decreased with increasing TG level (Tertile 1 vs. Tertile 2 vs. Tertile 3 = 10.3% vs. 8.6% vs. 6.3%, log rank test for overall p = 0.001). Cox regression analysis showed an independent correlation between TG level and risk of all-cause mortality [hazard ratio (HR) 0.71, 95% confidence interval (CI) 0.58-0.86] and cardiovascular mortality (HR 0.67, 95% CI 0.51-0.89) in total patients with CAD. Subgroup analysis found the similar results in patients with acute coronary syndrome and acute myocardial infarction.

conclusionsThis study found an inverse association between TG levels and mortality risk in CAD patients, which suggests that the "TG paradox" may exist in CAD patients.

trial registrationChiCTR, ChiCTR-OOC-17010433 . Registered 17 February 2017 - Retrospectively registered.

Indexed as

AgedCoronary Artery DiseaseFemaleHumansKaplan-Meier EstimateMaleMiddle AgedTriglyceridesTriglyceridesHypertriglyceridemiaParadoxPrognosis

Identifiers

PMID30670053
PMCPMC6343235

What OpenQuestion holds

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Registered trials

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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.