Evidence map›Paper›PMID 34540043›Full record

ArticleAmerican journal of translational research2021

The predictive values of GGT and Hcy in the risk stratifications and prognoses of NSTE-ACS patients.

Xiaoxia Li, Su Bu, Bin Dong, Yaodong Hu, Luhua Cui, Xiaohua Gao, Donghua Ren, Lixia Qin, Jiawei Wen

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PubMed Full text at PMC
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Article in American journal of translational research, 2021. 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
0.2field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

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

9 authors at 3 institutions in 1 country.

Xiaoxia LiDepartment of Cardiovascular Medicine, Heping Hospital Affiliated to Changzhi Medical College Changzhi 046000, Shanxi Province, China.
Su BuDepartment of Cardiothoracic Surgery, Xiangyang No. 1 People's Hospital, Affiliated Hospital of Hubei University of Medicine Xiangyang 441000, Hubei Province, China.
Bin DongDepartment of Cardiovascular Medicine, Heping Hospital Affiliated to Changzhi Medical College Changzhi 046000, Shanxi Province, China.
Yaodong HuDepartment of Cardiovascular Medicine, Heping Hospital Affiliated to Changzhi Medical College Changzhi 046000, Shanxi Province, China.
Luhua CuiDepartment of Cardiovascular Medicine, Heping Hospital Affiliated to Changzhi Medical College Changzhi 046000, Shanxi Province, China.
Xiaohua GaoDepartment of Cardiovascular Medicine, Heping Hospital Affiliated to Changzhi Medical College Changzhi 046000, Shanxi Province, China.
Donghua RenDepartment of Cardiovascular Medicine, Heping Hospital Affiliated to Changzhi Medical College Changzhi 046000, Shanxi Province, China.
Lixia QinDepartment of Cardiovascular Medicine, Heping Hospital Affiliated to Changzhi Medical College Changzhi 046000, Shanxi Province, China.
Jiawei WenDepartment of Cardiovascular Medicine, Traditional Chinese Medical Hospital of Huzhou Huzhou 313000, Zhejiang Province, China.
Changzhi Medical College · CNHubei University of Medicine · CNHuzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis research was designed to probe into the predictive value of glutamyltransferase (GGT) and homocysteine (Hcy) in the risk stratifications and prognoses of non-ST segment elevation acute coronary syndrome (NSTE-ACS) patients.

methodsA total of 182 NSTE-ACS patients treated with percutaneous coronary intervention (PCI) in our hospital from February 2016 to May 2018 were recruited as a patient group (PG). They were followed up for one year, and the occurrences of any major adverse cardiovascular events (MACCE) were recorded. In addition, 90 healthy volunteers were recruited as a normal group (NG) during the same period. The GGT and Hcy expressions in the serum of both groups were tested, and the predictive values of these levels, the patient risk stratification, and the prognoses were analyzed.

resultsCompared with the NG, the GGT and Hcy expressions in the PG were markedly higher (

conclusionThe serum GGT and Hcy levels are positively correlated with the severity of coronary artery disease (CAD) in NSTE-ACS patients. They are independent predictors of adverse prognoses and can help refine the risk stratification management in clinical work.

Indexed as

diagnosisGGTHcyNSTE-ACSprognosis

Identifiers

PMID34540043
PMCPMC8430074
OpenAlexW3199982120

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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.