Evidence map›Paper›PMID 39620137›Full record

ArticleiScience2024

Triglyceride index as a predictor of mortality after cardiac surgery.

Huili Li, Fei Xiao, Haiqiang Ren, Fei Xu, Hao Che, Huadong Zhu, Chenghui Zhou, Sheng Wang

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Huili LiEmergency Department, The State Key Laboratory for Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Fei XiaoDepartment of Anesthesiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Haiqiang RenDepartment of Anesthesiology, Chuiyangliu Hospital Affiliated to Tsinghua University, Beijing 100022, China.
Fei XuDepartment of Anesthesiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Hao CheDepartment of Anesthesiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Huadong ZhuEmergency Department, The State Key Laboratory for Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Chenghui ZhouDepartment of Anesthesiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Sheng WangDepartment of Anesthesiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The triglyceride-glucose (TyG) index, a marker for insulin resistance, has been linked to adverse cardiac outcomes. Its role in predicting mortality following cardiac surgery remains unclear. Methods: This study analyzed 1,810 cardiac surgery patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, categorized by TyG index levels. Mortality was the primary outcome, assessed through Cox proportional hazards regression, time-dependent receiver operating characteristic (ROC) analysis, and restricted cubic splines. Results: Over a 13-year follow-up, 83 patients died. Higher TyG index levels were associated with increased mortality risk (hazard ratio [HR] = 1.206, 95% confidence interval [CI], 1.121-1.297, Conclusions: Elevated TyG index levels are significantly associated with higher mortality risk after cardiac surgery, highlighting its potential as a prognostic marker in this population.

Indexed as

Cardiovascular medicinePublic healthSurgery

Identifiers

PMID39620137
PMCPMC11607528

What Socratic 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 Socratic graph.