Evidence map›Paper›PMID 39742009›Full record

ArticleCardiovascular therapeutics2024

Improved Risk Prediction of Acute Myocardial Infarction in Patients With Stable Coronary Artery Disease Using an Amino Acid-Assisted Model.

Yi-Jing Zhao, Yong Li, Feng-Xiang Wang, Hao Lv, Yaoyao Qu, Lian-Wen Qi, Pingxi Xiao

Abstract readMulticenter Study
In one paragraph

Article in Cardiovascular therapeutics, 2024. 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

7 authors.

Yi-Jing ZhaoState Key Laboratory of Natural Medicines School of Traditional Chinese Pharmacy China Pharmaceutical University, Nanjing, China.ORCID https://orcid.org/0009-0004-6853-3767
Yong LiDepartment of Cardiology The Affiliated Wujin Hospital of Jiangsu University, Changzhou, China.ORCID https://orcid.org/0000-0003-0408-9551
Feng-Xiang WangThe Clinical Metabolomics Center China Pharmaceutical University, Nanjing, China.ORCID https://orcid.org/0000-0003-1687-3466
Hao LvState Key Laboratory of Natural Medicines School of Traditional Chinese Pharmacy China Pharmaceutical University, Nanjing, China.ORCID https://orcid.org/0009-0000-2490-7828
Yaoyao QuState Key Laboratory of Natural Medicines School of Traditional Chinese Pharmacy China Pharmaceutical University, Nanjing, China.ORCID https://orcid.org/0009-0009-4636-6407
Lian-Wen QiState Key Laboratory of Natural Medicines School of Traditional Chinese Pharmacy China Pharmaceutical University, Nanjing, China.ORCID https://orcid.org/0000-0003-0728-4475
Pingxi XiaoDepartment of Cardiology The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-0024-334X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with stable coronary artery disease (CAD) are at an increased risk of acute myocardial infarction (AMI), particularly among older individuals. Developing a reliable model to predict AMI occurrence in these patients holds the potential to expedite early diagnosis and intervention. This study is aimed at establishing a circulating amino acid-assisted model, incorporating amino acid profiles alongside clinical variables, to predict AMI risk. A cohort of 874 CAD patients from two independent centers was analyzed. Plasma amino acid levels were quantified using liquid chromatography tandem mass spectrometry (LC-MS/MS) employing a targeted metabolomics approach. This methodology incorporated

Indexed as

Amino AcidsBiomarkersCoronary Artery DiseaseMyocardial InfarctionPredictive Value of TestsAgedChinaChromatography, LiquidDecision Support TechniquesFemaleHumansMaleMetabolomicsMiddle AgedNomogramsPrognosisAmino AcidsBiomarkersacute myocardial infarctionamino acidcoronary artery diseasemethylated amino acidrisk prediction

Identifiers

PMID39742009
PMCPMC11379511

What OpenQuestion holds

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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.