Evidence map›Paper›PMID 37563268›Full record

ArticleScientific reports2023

Trends in baseline triglyceride-glucose index and association with predicted 10-year cardiovascular disease risk among type 2 diabetes patients in Thailand.

Sethapong Lertsakulbunlue, Mathirut Mungthin, Ram Rangsin, Anupong Kantiwong, Boonsub Sakboonyarat

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

5 authors.

Sethapong LertsakulbunlueDepartment of Pharmacology, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand.
Mathirut MungthinDepartment of Parasitology, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand.
Ram RangsinDepartment of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand.
Anupong KantiwongDepartment of Pharmacology, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand.
Boonsub SakboonyaratDepartment of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand. boonsub1991@pcm.ac.th.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triglyceride-glucose (TyG) index is an independent risk factor for cardiovascular diseases (CVD). Our study determined the trends of the TyG index and its relationship to predicted CVD risk among patients with type 2 diabetes (T2D). A serial cross-sectional study was conducted including 63,815 participants with T2D aged 30-74 years without a history of CVD. The predicted CVD risk was based on the Framingham Heart Study (FHS). The receiver operating characteristic (ROC) curve was utilized for identifying the cutoff point of TyG index to predict intermediate-to-high CVD risk. The relationship between TyG index and predicted CVD risk was tested using linear and logistic regression. Decreasing trends of TyG index were observed between 2014 and 2018 (p < 0.001). ROC curve analysis of the TyG index indicated an AUC of 0.57 (95% CI 0.56-0.57, p < 0.001) in predicting intermediate-to-high predicted CVD risk, with a cutoff value of TyG index > 9.2 (sensitivity of 55.7%, specificity of 46.8%). An independent relationship between the TyG index and predicted CVD risk was observed. High TyG index was independently associated with intermediate-to-high predicted CVD risk. From our study, the TyG index was positively related to predicted 10-year CVD risk. However, the predictive ability of the TyG index in predicting the intermediate-to-high predicted 10-year CVD risk among patients with T2D remained questionable.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2BiomarkersBlood GlucoseCross-Sectional StudiesGlucoseHumansRisk FactorsThailandTriglyceridesBiomarkersBlood GlucoseGlucoseTriglycerides

Identifiers

PMID37563268
PMCPMC10415402

What Socratic 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 Socratic graph.