Evidence map›Paper›PMID 35524263›Full record

ReviewCardiovascular diabetology2022

Triglyceride-glucose index as a marker in cardiovascular diseases: landscape and limitations.

Li-Chan Tao, Jia-Ni Xu, Ting-Ting Wang, Fei Hua, Jian-Jun Li

Open access · goldAbstract readReview
In one paragraph

Review in Cardiovascular diabetology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 705 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
705citing papers in PubMed, 5 pooled it
136.0field-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

705 citing papers in PubMed, 5 syntheses or guidelines pooled it, 1,022 citations in OpenAlex.

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645 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

5 authors at 2 institutions in 1 country.

Li-Chan Tao *The Third Affiliated Hospital of Soochow University, Juqian Road, Changzhou, 213000, China.
Jia-Ni Xu *The Third Affiliated Hospital of Soochow University, Juqian Road, Changzhou, 213000, China.
Ting-Ting WangThe Third Affiliated Hospital of Soochow University, Juqian Road, Changzhou, 213000, China.
Fei HuaThe Third Affiliated Hospital of Soochow University, Juqian Road, Changzhou, 213000, China. Huafei1970@suda.cn.
Jian-Jun LiState Key Laboratory of Cardiovascular Diseases, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167 BeiLiShi Road, XiCheng District, Beijing, 100037, China. lijianjun938@126.com.
Soochow University · CNFu Wai Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The triglyceride-glucose (TyG) index has been identified as a reliable alternative biomarker of insulin resistance (IR). Recently, a considerable number of studies have provided robust statistical evidence suggesting that the TyG index is associated with the development and prognosis of cardiovascular disease (CVD). Nevertheless, the application of the TyG index as a marker of CVD has not systemically been evaluated, and even less information exists regarding the underlying mechanisms associated with CVD. To this end, in this review, we summarize the history of the use of the TyG index as a surrogate marker for IR. We aimed to highlight the application value of the TyG index for a variety of CVD types and to explore the potential limitations of using this index as a predictor for cardiovascular events to improve its application value for CVD and provide more extensive and precise supporting evidence.

Indexed as

Cardiovascular DiseasesInsulin ResistanceBiomarkersBlood GlucoseGlucoseHumansRisk AssessmentRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesCardiovascular diseaseInsulin resistanceTriglyceride-glucose index

Identifiers

PMID35524263
PMCPMC9078015
OpenAlexW4228997710

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.