Evidence map›Paper›PMID 39867197›Full record

ArticleReviews in cardiovascular medicine2025

Association of Serum Gamma-Glutamyltransferase with In-hospital Heart Failure in Patients with ST-segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention.

An-Cheng Hou, Jian-Tong Hou, Wei-Ning Zhou, Yan-Jin Wei, Zhi-Hong Ou, Cun-Fei Liu

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

An-Cheng HouDepartment of Cardiology, Linyi People's Hospital, Shandong Second Medical University, 276000 Linyi, Shandong, China.
Jian-Tong HouDepartment of Cardiology, Linyi People's Hospital, Shandong Second Medical University, 276000 Linyi, Shandong, China.
Wei-Ning ZhouDepartment of Pathology, Linyi People's Hospital, Shandong Second Medical University, 276000 Linyi, Shandong, China.
Yan-Jin WeiDepartment of Cardiology, Linyi People's Hospital, Shandong Second Medical University, 276000 Linyi, Shandong, China.
Zhi-Hong OuDepartment of Cardiology, Linyi People's Hospital, Shandong Second Medical University, 276000 Linyi, Shandong, China.
Cun-Fei LiuDepartment of Cardiology, Linyi People's Hospital, Shandong Second Medical University, 276000 Linyi, Shandong, China.ORCID https://orcid.org/0000-0002-1094-4430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To explore the association between gamma-glutamyltransferase (GGT) and in-hospital heart failure (HF) in patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI). Methods: A total of 412 patients diagnosed with STEMI and treated with primary PCI were included in our study. Univariate and multivariate logistic regression models were used to evaluate the association between GGT and the risk of in-hospital HF in STEMI patients. The receiver operating characteristic (ROC) curve was used to assess the accuracy of GGT in predicting in-hospital HF. Results: The incidence of HF after STEMI increased significantly with increasing GGT tertiles (the first, second, and third tertile groups were 7.97%, 14.49%, and 18.38%, respectively; Conclusions: GGT is positively associated with in-hospital HF and is an independent risk factor for in-hospital HF in STEMI patients.

Indexed as

gamma-glutamyltransferaseheart failurepercutaneous coronary interventionST-segment elevation myocardial infarction

Identifiers

PMID39867197
PMCPMC11759973

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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 OpenQuestion graph.