Evidence map›Paper›PMID 36531702›Full record

ArticleFrontiers in cardiovascular medicine2022

Risk factors, clinical features, and outcomes of premature acute myocardial infarction.

Qi Liu, Rui-Juan Shi, Yi-Man Zhang, Yi-Heng Cheng, Bo-Sen Yang, Yi-Ke Zhang, Bao-Tao Huang, Mao Chen

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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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

16 citing papers in PubMed.

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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

8 authors.

Qi LiuDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Rui-Juan ShiDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Yi-Man ZhangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Yi-Heng ChengDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Bo-Sen YangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Yi-Ke ZhangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Bao-Tao HuangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Mao ChenDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To investigate the risk factors, clinical features, and prognostic factors of patients with premature acute myocardial infarction (AMI). Materials and methods: A retrospective cohort study of patients with AMI included in data from the West China Hospital of Sichuan University from 2011 to 2019 was divided into premature AMI (aged < 55 years in men and < 65 years in women) and non-premature AMI. Patients' demographics, laboratory tests, Electrocardiography (ECG), cardiac ultrasound, and coronary angiography reports were collected. All-cause death after incident premature MI was enumerated as the primary endpoint. Results: Among all 8,942 AMI cases, 2,513 were premature AMI (79.8% men). Compared to the non-premature AMI group, risk factors such as smoking, dyslipidemia, overweight, obesity, and a family history of coronary heart disease (CHD) were more prevalent in the premature AMI group. The cumulative survival rate of patients in the premature AMI group was significantly better than the non-premature AMI group during a mean follow-up of 4.6 years (HR = 0.27, 95% CI 0.22-0.32, Conclusion: AMI in young patients is associated with unhealthy lifestyles such as smoking, dyslipidemia, and obesity. Low LVEF, elevated NT-proBNP peak level, and the occurrence of in-hospital MACCEs were predictors of poor prognosis in premature AMI patients.

Indexed as

acute myocardial infarctionCADprematureprognosisrisk factors

Identifiers

PMID36531702
PMCPMC9747765

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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.