Evidence map›Paper›PMID 38961082›Full record

ArticleScientific reports2024

Coronary risk factor profiles according to different age categories in premature coronary artery disease patients who have undergone percutaneous coronary intervention.

Sukma Azureen Nazli, Azhari Rosman, Noor Alicezah Mohd Kasim, Alyaa Al-Khateeb, Ahmad Zia Ul-Saufie, Ahmad Bakhtiar Md Radzi, Khairul Shafiq Ibrahim, Sazzli Shahlan Kasim, Hapizah Nawawi

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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  3. 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

9 authors.

Sukma Azureen NazliInstitute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Selangor, Malaysia. azureennazli@yahoo.com.
Azhari RosmanInstitut Jantung Negara (IJN), Kuala Lumpur, Malaysia.
Noor Alicezah Mohd KasimInstitute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Selangor, Malaysia.
Alyaa Al-KhateebInstitute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Selangor, Malaysia.
Ahmad Zia Ul-SaufieFaculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Selangor, Malaysia.
Ahmad Bakhtiar Md RadziFaculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia.
Khairul Shafiq IbrahimFaculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia.
Sazzli Shahlan KasimFaculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia.
Hapizah NawawiInstitute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Selangor, Malaysia. hapizah.nawawi@gmail.com.

Funding

Universiti Teknologi MARA (UiTM) MITRA 600-IRMI/MYRA 5/3/MITRA (003/2017)
6 · The paper itself

Abstract

Many studies have investigated the coronary risk factors (CRFs) among premature coronary artery disease (PCAD) patients. However, reports on the proportion and CRFs of PCAD according to different age cut-offs for PCAD is globally under-reported. This study aimed to determine the proportion of PCAD patients and analyse the significant CRFs according to different age cut-offs among percutaneous coronary intervention (PCI)-treated patients. Patients who underwent PCI between 2007 and 2018 in two cardiology centres were included (n = 29,241) and were grouped into four age cut-off groups that defines PCAD: (A) Males/females: < 45, (B) Males: < 50; Females: < 55, (C) Males: < 55; Females: < 60 and (D) Males: < 55; Females: < 65 years old. The average proportion of PCAD was 28%; 9.2% for group (A), 21.5% for group (B), 38.6% and 41.9% for group (C) and (D), respectively. The top three CRFs of PCAD were LDL-c level, TC level and hypertension (HTN). Malay ethnicity, smoking, obesity, family history of PCAD, TC level and history of MI were the independent predictors of PCAD across all age groups. The proportion of PCAD in Malaysia is higher compared to other studies. The most significant risk factors of PCAD are LDL-c, TC levels and HTN. Early prevention, detection and management of the modifiable risk factors are highly warranted to prevent PCAD.

Indexed as

Coronary Artery DiseasePercutaneous Coronary InterventionAdultAgedAge FactorsFemaleHeart Disease Risk FactorsHumansHypertensionMaleMiddle AgedRisk Factors

Identifiers

PMID38961082
PMCPMC11222582

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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.