Evidence map›Paper›PMID 41362623›Full record

ArticleiScience2025

Coronary computed tomography angiography plaque and flow patterns in acute coronary syndrome lesions.

Peng Peng Xu, Jia Ni Zou, Qian Chen, Feng Wang, Hong Yan Qiao, Fan Zhou, Bang Jun Guo, Chang Sheng Zhou, Meng Jie Lu, Zhi Han Xu and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Peng Peng XuDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu 210002, China.
Jia Ni ZouDepartment of Diagnostic Radiology, General Hospital of Central Theater Command of the PLA, Wuhan, Hubei 430070, China.
Qian ChenDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Feng WangDivision of Cardiology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China.
Hong Yan QiaoDepartment of Medical Imaging, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214122, China.
Fan ZhouDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu 210002, China.
Bang Jun GuoDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu 210002, China.
Chang Sheng ZhouDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu 210002, China.
Meng Jie LuHealth Science Center, Ningbo University, Ningbo, Zhejiang 315211, China.
Zhi Han XuCT Collaboration, Siemens Healthineers, Shanghai, China.
Xin Wei TaoDepartment of Interventional Oncology, Boston Scientific Corporation, Shanghai 200023, China.
Xi HuDepartment of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China.
Ying HanDepartment of Diagnostic Radiology, General Hospital of Central Theater Command of the PLA, Wuhan, Hubei 430070, China.
Ya LiuDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu 210002, China.
Ling Sheng MiaoSouthern Medical University, Guangzhou, Guangdong 510515, China.
Jun Hua GuoSouthern Medical University, Guangzhou, Guangdong 510515, China.
Hui XuDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Long Jiang ZhangDepartment of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu 210002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute coronary syndrome (ACS) risk stratification requires assessment across different time frames. This multicenter study investigated whether a single coronary computed tomography angiography (CCTA) scan could provide integrated short-term (≤7 days) and long-term (≥30 days) risk assessment. The study developed and validated dual-timeframe models combining population health data, stenosis severity, quantitative low-density plaque burden (LDP%), and the hemodynamic parameter ΔCT-FFR (CT-derived fractional flow reserve [CT-FFR] proximal to the lesion minus CT-FFR distal to the lesion). Key findings indicate that while stenosis and LDP% predicted ACS risk in both time frames, ΔCT-FFR was specifically associated with short-term risk. The combined models demonstrated superior performance and greater net clinical benefit compared to using stenosis severity alone, as confirmed in multiple external cohorts. These results establish that a single CCTA examination can simultaneously assess immediate and future ACS risk.

Indexed as

Health Science

Identifiers

PMID41362623
PMCPMC12682005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.