Evidence map›Paper›PMID 39847250›Full record

ReviewThe Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology2025

Updates on CAD risk assessment: using the coronary artery calcium score in combination with traditional risk factors.

Kiara Rezaie-Kalamtari, Zeinab Norouzi, Alireza Salmanipour, Hossein Mehrali

Abstract readReview
In one paragraph

Review in The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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

4 authors.

Kiara Rezaie-KalamtariRajaie Cardiovascular, Medical and Research Institute, Valiasr Ave, Hashemi Rafsanjani (Niayesh) Intersection, Tehran, Iran.
Zeinab NorouziRajaie Cardiovascular, Medical and Research Institute, Valiasr Ave, Hashemi Rafsanjani (Niayesh) Intersection, Tehran, Iran. zeinab.norouzi.md@gmail.com.ORCID http://orcid.org/0000-0002-0941-3333
Alireza SalmanipourRajaie Cardiovascular, Medical and Research Institute, Valiasr Ave, Hashemi Rafsanjani (Niayesh) Intersection, Tehran, Iran.
Hossein MehraliRajaie Cardiovascular, Medical and Research Institute, Valiasr Ave, Hashemi Rafsanjani (Niayesh) Intersection, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) is the third leading cause of death worldwide, so prevention and early diagnosis play important roles to reduce mortality and morbidity. Traditional risk-score assessments were used to find the at-risk patients in order to prevent or early treatment of CAD. Adding imaging data to traditional risk-score systems will able us to find these patients more confidently and reduce the probable mismanagements. MAIN TEXT: Measuring the vascular calcification by coronary artery calcium (CAC) score can prepare valuable data for this purpose. Using CAC became more popular in recent years. The most applicable method to evaluate CAC is Agatston scoring using computed tomography (CT) scanning. Patients are classified into several subgroups: no evidence of CAD (score 0), mild CAD (score 1-10), minimal CAD (score 11-100), moderate CAD (score 101-400), and severe CAD (score > 400) and higher than1000 as the extreme risk of CVD events.

conclusionsCAC assessment was recommended in the patients older than 40 years old with CAD risk factors, the ones with stable angina, borderline-to-intermediate-risk group, etc. According to the results of the CAC the patients may be candidate for further evaluation for needing revascularization, medical treatment, or routine follow-up. Adding artificial intelligence (AI) to CAC will prepare more data and can increase the reliability of our approach to the patients promising a bright future to improve this technology.

Identifiers

PMID39847250
PMCPMC11757844

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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.