Evidence map›Paper›PMID 35469448›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

The Association of Triglyceride Glucose index for Coronary Artery Disease in Postmenopausal Women.

Jingyi Liu, Haiwei Bu, Zhenjiang Ding, Ying Zhang, Yongjie Chen, Yuxia Gao

Open access · goldAbstract read
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  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

6 authors at 3 institutions in 1 country.

Jingyi LiuDepartment of Cardiology, 12610General Hospital of Tianjin Medical University, Tianjin, China.ORCID https://orcid.org/0000-0001-7123-0119
Haiwei BuDepartment of 117914Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China.
Zhenjiang DingDepartment of 117914Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China.ORCID https://orcid.org/0000-0002-1243-8419
Ying ZhangDepartment of 117914Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China.ORCID https://orcid.org/0000-0002-4822-4295
Yongjie ChenDepartment of Epidemiology and Statistics, School of Public Health, 117865Tianjin Medical University, Tianjin, China.
Yuxia GaoDepartment of Cardiology, 12610General Hospital of Tianjin Medical University, Tianjin, China.ORCID https://orcid.org/0000-0002-9246-320X
Chengde Medical University · CNTianjin Medical University · CNTianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore the association between the triglyceride glucose (TyG) index and coronary artery disease (CAD) in postmenopausal women. This study enrolled 869 postmenopausal women and classified them into two groups: CAD group (n  =  538) and control group (n  =  331). The TyG index was significantly higher in patients with CAD than in controls (

Indexed as

Coronary Artery DiseaseBlood GlucoseFemaleGlucoseHumansMiddle AgedPostmenopauseTriglyceridesBlood GlucoseGlucoseTriglyceridescoronary artery diseaseGensini scorepostmenopausal womentriglyceride glucose index

Identifiers

PMID35469448
PMCPMC9087225
OpenAlexW4224943390

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.