Evidence mapPaperPMID 40128080Full record

Observational studyMedicine2025

Study on secondary prevention and the impact of risk factor control on myocardial infarction events in young patients with coronary heart disease.

Yidi Liu, Naizhi Geng

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Yidi LiuHeilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China.
Naizhi GengHeilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China.ORCID 0009-0001-9449-0658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of coronary heart disease (CHD) among young adults has been steadily increasing, yet the control of risk factors and their impact on myocardial infarction (MI) events remain to be further studied. This study aims to analyze the control of major risk factors and their effects on MI events in young CHD patients. This retrospective study included 1032 young CHD patients who were followed up between January 2020 and December 2023. Baseline and follow-up data were collected, including the control status of risk factors such as smoking, diabetes, hypertension, and low-density lipoprotein cholesterol (LDL-C), as well as the occurrence of MI events. Multivariate logistic regression analysis was used to explore the association between risk factors and MI events. The study found that after risk factor interventions, the smoking rate decreased significantly from 75.1% at baseline to 36.2% at the end of follow-up (P < .001). The proportion of patients achieving HbA1c < 7.0% increased from 81.0% to 84.5% (P = .039), and the LDL-C target achievement rate (<1.8 mmol/L) improved markedly from 13.6% to 34.1% (P < .001). Multivariate regression analysis indicated that persistent smoking (OR = 2.27, P = .019) and failure to meet LDL-C targets (OR = 1.91, P = .025) were independent risk factors for MI. Furthermore, the greater the number of risk factors controlled, the lower the risk of MI. Patients achieving control of ≥ 4 risk factors had a significantly lower incidence of MI compared to those achieving control of ≤ 1 factor (P < .001). The control of risk factors in young CHD patients is closely related to the occurrence of MI events. Comprehensive interventions targeting multiple risk factors can significantly reduce the risk of MI. This study underscores the importance of smoking cessation, lipid management, and diabetes control in the secondary prevention of MI in young CHD patients, providing evidence for the optimization of clinical intervention strategies.

Indexed as

Coronary DiseaseMyocardial InfarctionSecondary PreventionAdultCholesterol, LDLDiabetes MellitusFemaleGlycated HemoglobinHumansHypertensionIncidenceMaleRetrospective StudiesRisk FactorsSmokingCholesterol, LDLGlycated Hemoglobin

Identifiers

PMID40128080
PMCPMC11936543

What Socratic 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 Socratic graph.