Evidence map›Paper›PMID 36304978›Full record

ArticleInternational journal of clinical practice2022

Association between the Triglyceride-Glucose Index and the Risk of Large Artery Atherosclerotic Stroke.

Mingfei Jiang, Huan Wu, Huiping Zhang, Fan Su, Lei Cao, Xia Ren, Grace Tatenda, Jian Hu, Mingjia Cheng, Yufeng Wen

Abstract read
In one paragraph

Article in International journal of clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
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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

10 authors.

Mingfei JiangDepartment of Diagnostics, Clinical School of Medicine, Wannan Medical College, Anhui, Wuhu 214002, China.ORCID https://orcid.org/0000-0003-2687-362X
Huan WuDepartment of Prevention Medical, School of Laboratory Medicine, Wannan Medical College, Anhui, Wuhu 214002, China.
Huiping ZhangStroke Research Center, Department of Ultrasound, Ma'anshan People's Hospital, Anhui, Ma'anshan 243000, China.
Fan SuDepartment of Prevention Medical, School of Public Health, Wannan Medical College, Anhui, Wuhu 214002, China.
Lei CaoDepartment of Prevention Medical, School of Public Health, Wannan Medical College, Anhui, Wuhu 214002, China.
Xia RenDepartment of Prevention Medical, School of Public Health, Wannan Medical College, Anhui, Wuhu 214002, China.
Grace TatendaDepartment of Prevention Medical, School of Public Health, Wannan Medical College, Anhui, Wuhu 214002, China.
Jian HuDepartment of Prevention Medical, School of Public Health, Wannan Medical College, Anhui, Wuhu 214002, China.
Mingjia ChengDepartment of Diagnostics, Clinical School of Medicine, Wannan Medical College, Anhui, Wuhu 214002, China.
Yufeng WenDepartment of Prevention Medical, School of Public Health, Wannan Medical College, Anhui, Wuhu 214002, China.ORCID https://orcid.org/0000-0001-9338-918X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to evaluate the value of the triglyceride-glucose (TyG) index and the risk of large artery atherosclerotic (LAA) stroke. Information on general demographic and clinical characteristics, magnetic resonance angiography (MRA) examination, and blood biochemical index determination were obtained. Based on age stratification, three models to evaluate the odds ratio (OR) and the 95% confidence interval (95% CI) were employed to determine the correlation between the TyG index and the risk of LAA stroke. The most effective TyG index threshold in predicting a high risk of LAA stroke was identified using receiver operating characteristic (ROC) curve analysis. Logistic regression verified the association between the risk of LAA stroke and the TyG index. Both with and without age stratification, logistic regression analysis showed that the TyG index was a significant predictor of the occurrence of LAA stroke (

Indexed as

AtherosclerosisStrokeArteriesBiomarkersBlood GlucoseGlucoseHumansRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglycerides

Identifiers

PMID36304978
PMCPMC9578805

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.