Evidence map›Paper›PMID 40342972›Full record

ArticleFrontiers in cardiovascular medicine2025

The role of coronary artery calcium scoring in the prediction of coronary artery disease based on non-contrast non-cardiac chest CT scans in airline pilots.

Lin Zhang, Li Li Liu, Zheng Bin Zhu, Yan Xu, Kai Chen, Qing Qing Duan, Yu Kai Li, Jie Gao, Meng Song, Qiu Yu Shen and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cardiovascular 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. Trial
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

18 authors.

Lin Zhang *CAAC East China Aviation Personnel Medical Appraisal Center, Civil Aviation Shanghai Hospital, Shanghai, China.
Li Li Liu *Department of Cardiovascular Medicine, Rui Jin Hospital, Jiao Tong University School of Medicine, Shanghai, China.
Zheng Bin Zhu *Department of Cardiovascular Medicine, Rui Jin Hospital, Jiao Tong University School of Medicine, Shanghai, China.
Yan XuCAAC East China Aviation Personnel Medical Appraisal Center, Civil Aviation Shanghai Hospital, Shanghai, China.
Kai ChenCAAC East China Aviation Personnel Medical Appraisal Center, Civil Aviation Shanghai Hospital, Shanghai, China.
Qing Qing DuanCAAC East China Aviation Personnel Medical Appraisal Center, Civil Aviation Shanghai Hospital, Shanghai, China.
Yu Kai LiCAAC East China Aviation Personnel Medical Appraisal Center, Civil Aviation Shanghai Hospital, Shanghai, China.
Jie GaoCAAC East China Aviation Personnel Medical Appraisal Center, Civil Aviation Shanghai Hospital, Shanghai, China.
Meng SongCAAC East China Aviation Personnel Medical Appraisal Center, Civil Aviation Shanghai Hospital, Shanghai, China.
Qiu Yu ShenCAAC East China Aviation Personnel Medical Appraisal Center, Civil Aviation Shanghai Hospital, Shanghai, China.
Shao Jie ZhuCAAC East China Aviation Personnel Medical Appraisal Center, Civil Aviation Shanghai Hospital, Shanghai, China.
Qing Qing JinCAAC East China Aviation Personnel Medical Appraisal Center, Civil Aviation Shanghai Hospital, Shanghai, China.
Jian Ping WenCAAC East China Aviation Personnel Medical Appraisal Center, Civil Aviation Shanghai Hospital, Shanghai, China.
Shuo FengDepartment of Cardiovascular Medicine, Rui Jin Hospital, Jiao Tong University School of Medicine, Shanghai, China.
Ying LuDepartment of Aviation Health, China Eastern Airlines Co., Ltd, Shanghai, China.
Run DuDepartment of Cardiovascular Medicine, Rui Jin Hospital, Jiao Tong University School of Medicine, Shanghai, China.
Bin RenCAAC East China Aviation Personnel Medical Appraisal Center, Civil Aviation Shanghai Hospital, Shanghai, China.
Rui Yan ZhangDepartment of Cardiovascular Medicine, Rui Jin Hospital, Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of the present study was to explore the value of coronary artery calcium score (CACS) using non-gated, non-contrast chest computed tomography (NCCT) to predict coronary artery disease (CAD) in airline pilots. Methods: Pilots with coronary calcification found on NCCT were consecutively enrolled into this study. All received a coronary computed tomography angiography (CCTA) examination. The coronary artery calcium score (CACS) was evaluated on NCCT using the Agatston method. CCTA images were analyzed using a semi-automated software. Coronary Artery Disease Reporting and Data System (CAD-RADS) scoring categorized coronary stenosis. Results: A total of 217 male pilots were included, of which 49 were diagnosed with significant CAD (CAD-RADS category 3 or higher). Pilots with significant CAD had much higher CACS (324.28 ± 389.02 vs. 39.16 ± 68.88; Conclusions: CACS assessed using NCCT was significantly associated with CAD-RADS category 3 or higher, as confirmed by CCTA, which indicates that it may serve as a robust predictor for diagnosing significant CAD among airline pilots.

Indexed as

Agatstonairline pilotscoronary artery calcium score (CACS)coronary computed tomography angiography (CCTA)non-contrast non-gated computed tomography (NCCT)

Identifiers

PMID40342972
PMCPMC12058765

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.