Evidence map›Paper›PMID 39777103›Full record

ArticleAging medicine (Milton (N.S.W))2024

Triglyceride-glucose index trajectories predict adverse cardiovascular outcomes in elderly heart failure patients with Diabetes: A retrospective cohort study.

Hong Liu, Jian Wang, Zhi Luo, Ding Jia, Shixing Feng, Zhufang Yang, Zeyu Wang

Abstract read
In one paragraph

Article in Aging medicine (Milton (N.S.W)), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Review
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

7 authors.

Hong LiuDepartment of Cardiology Beijing Geriatric Hospital Beijing China.ORCID https://orcid.org/0009-0009-2102-5948
Jian WangDepartment of Cardiology Beijing Geriatric Hospital Beijing China.
Zhi LuoDepartment of Cardiology Beijing Geriatric Hospital Beijing China.
Ding JiaDepartment of Cardiology Beijing Geriatric Hospital Beijing China.
Shixing FengDepartment of Cardiology Beijing Geriatric Hospital Beijing China.
Zhufang YangDepartment of Cardiology Beijing Geriatric Hospital Beijing China.
Zeyu WangDepartment of Cardiology Beijing Geriatric Hospital Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Evaluating the change trajectories of triglyceride-glucose (TyG) index calculated after multiple tests in elderly heart failure (HF) patients may have clinical implications for predicting long-term adverse cardiovascular events (MACEs). Methods: This retrospective study included 1184 elderly HF (LVEF ≥50%) patients with diabetes admitted to our center between January 2015 and January 2020. Based on the multiple TyG levels detected during the exposure period with annual measurements, three distinct TyG trajectories were determined using latent mixture modeling: low-stable group (TyG index <8.26, Results: There were significant increases in the prevalence of several cardiovascular risk factors and conditions, such as male gender, BMI, current smoker, hyperlipidemia, atrial fibrillation, old myocardial infarction, fasting glucose, triglycerides, and uric acid levels, from the Low-Stable Group to the High-Increasing Group (all Conclusions: The TyG trajectory is strongly associated with the risk of MACEs during follow-up in elderly patients with T2DM, suggesting that TyG trajectories may further optimize risk stratification model of cardiovascular events.

Indexed as

adverse cardiovascular eventsagingheart failuretrajectoriestriglyceride‐glucose index

Identifiers

PMID39777103
PMCPMC11702470

What Socratic 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 Socratic graph.