Evidence map›Paper›PMID 36639637›Full record

ArticleCardiovascular diabetology2023

Independent effects of the triglyceride-glucose index on all-cause mortality in critically ill patients with coronary heart disease: analysis of the MIMIC-III database.

Rongting Zhang, Shanshan Shi, Weihua Chen, Yani Wang, Xueqin Lin, Yukun Zhao, Lihua Liao, Qian Guo, Xiaoying Zhang, Weiguo Li and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 2 pooled it
40.4field-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

110 citing papers in PubMed, 2 syntheses or guidelines pooled it, 199 citations in OpenAlex.

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

50 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

13 authors at 1 institution in 1 country.

Rongting Zhang *Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.ORCID 0000-0003-2270-1492
Shanshan Shi *Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.ORCID 0000-0003-4970-3615
Weihua ChenDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Yani WangDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Xueqin LinDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Yukun ZhaoDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Lihua LiaoDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Qian GuoDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Xiaoying ZhangDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Weiguo LiDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Kaijun ZhangDepartment of Pulmonary and Critical Care Medicine, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China. 420780660@qq.com.
Ying LiaoDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China. wingjays@163.com.
Yong FangDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China. fjly7008@163.com.ORCID 0000-0002-4702-3854
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index is a reliable alternative biomarker of insulin resistance (IR). However, whether the TyG index has prognostic value in critically ill patients with coronary heart disease (CHD) remains unclear.

methodsParticipants from the Medical Information Mart for Intensive Care III (MIMIC-III) were grouped into quartiles according to the TyG index. The primary outcome was in-hospital all-cause mortality. Cox proportional hazards models were constructed to examine the association between TyG index and all-cause mortality in critically ill patients with CHD. A restricted cubic splines model was used to examine the associations between the TyG index and outcomes.

resultsA total of 1,618 patients (65.14% men) were included. The hospital mortality and intensive care unit (ICU) mortality rate were 9.64% and 7.60%, respectively. Multivariable Cox proportional hazards analyses indicated that the TyG index was independently associated with an elevated risk of hospital mortality (HR, 1.71 [95% CI 1.25-2.33] P = 0.001) and ICU mortality (HR, 1.50 [95% CI 1.07-2.10] P = 0.019). The restricted cubic splines regression model revealed that the risk of hospital mortality and ICU mortality increased linearly with increasing TyG index (P for non-linearity = 0.467 and P for non-linearity = 0.764).

conclusionsThe TyG index was a strong independent predictor of greater mortality in critically ill patients with CHD. Larger prospective studies are required to confirm these findings.

Indexed as

Coronary DiseaseCritical IllnessBiomarkersBlood GlucoseCritical CareFemaleGlucoseHumansMaleRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesAll-cause mortalityCoronary heart diseaseInsulin resistanceMIMIC-III databaseTriglyceride-glucose index

Identifiers

PMID36639637
PMCPMC9838037
OpenAlexW4316039754

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.