Evidence map›Paper›PMID 40302670›Full record

ArticleJournal of pathology and translational medicine2025

Thoracic aortic calcification as a predictor of coronary artery disease: a systematic review and meta-analysis.

Hussein Nafakhi, Alaa Salah Jumaah, Akeel Abed Yasseen

Abstract read
In one paragraph

Article in Journal of pathology and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

3 authors.

Hussein NafakhiDepartment of Internal Medicine, Faculty of Medicine, University of Kufa, Kufa, Iraq.
Alaa Salah JumaahDepartment of Pathology and Forensic Medicine, Faculty of Medicine, University of Kufa, Kufa, Iraq.
Akeel Abed YasseenDepartment of Pathology and Forensic Medicine, Faculty of Medicine, University of Kufa, Kufa, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between coronary atherosclerosis (progression, outcome) and calcification in the thoracic aorta (TAC), particularly across its various segments, is complex and often shows conflicting associations in the literature. To address this debated and complex relationship, we aimed to evaluate how TAC and its segments correlate with the presence and severity of coronary artery disease (CAD).

methodsWe reviewed all articles published between January 1990 and September 2024 that examined the link between TAC and CAD and were indexed in PubMed, Scopus, or EMBASE. Using a random-effects model, we calculated pooled proportions, odds ratios, and corresponding 95% confidence intervals (CIs) to evaluate the association between TAC and CAD, with consideration of severity.

resultsThe study included 17 studies with 8,187 participants, 2,775 of whom had CAD (1,059 with severe CAD), and 5,412 of whom did not. The pooled odds ratio of TAC in patients with CAD compared to that in those without was 3.874 (95% CI, 2.789 to 5.381). For severe CAD versus mild CAD, the odds ratio was 8.005 (95% CI, 2.611 to 24.542). Calcification of the aortic root (pooled proportion, 51%; 95% CI, 0.282 to 0.733) or descending aorta (pooled proportion, 53.4%; 95% CI, 0.341 to 0.718) had the strongest association with CAD compared to calcification of the arch or ascending aorta.

conclusionsTAC is significantly associated with both the presence and severity of CAD. Calcification in the descending aorta and aortic root is more strongly linked to CAD than calcification in the arch or ascending aorta.

Indexed as

Aortic calcificationCoronary artery diseaseMeta-analysisThoracic aorta

Identifiers

PMID40302670
PMCPMC12138240

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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.