Evidence map›Paper›PMID 41105083›Full record

ArticleJACC. Asia2026

Stepwise Assessment of Computational Coronary Physiology and Plaque Vulnerability: Impact on Coronary Revascularization Decision Making.

Chenguang Li, Daixin Ding, Zhiqing Wang, Yong He, Yong Dong, Junqing Yang, Zheng Shen, Defeng Pan, William Wijns, Junbo Ge and 1 more

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Article in JACC. Asia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

11 authors.

Chenguang LiDepartment of Cardiology, Zhongshan Hospital, Fudan University, National Clinical Research Center for Interventional Medicine, Shanghai Clinical Research Center for Interventional Medicine, Shanghai, China.
Daixin DingDepartment of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Zhiqing WangDepartment of Cardiology, Huadong Hospital, Fudan University, Shanghai, China.
Yong HeDepartment of Cardiology, West China Hospital Sichuan University, Chengdu, China.
Yong DongDepartment of Cardiology, The 7th People's Hospital of Zhengzhou, Zhengzhou, China.
Junqing YangDepartment of Cardiovascular Medicine, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China.
Zheng ShenThe Affiliated Hospital of Guizhou Medical University, Guizhou, China.
Defeng PanDepartment of Cardiology, Affiliated Hospital of Xuzhou Medical University, Jiangsu, China.
William WijnsLambe Institute for Translational Research, Smart Sensors Laboratory and CÚRAM, University of Galway, Galway, Ireland.
Junbo GeDepartment of Cardiology, Zhongshan Hospital, Fudan University, National Clinical Research Center for Interventional Medicine, Shanghai Clinical Research Center for Interventional Medicine, Shanghai, China. Electronic address: jbge@zs-hospital.sh.cn.
Shengxian TuDepartment of Cardiology, Ren Ji Hospital, School of Medicine, and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. Electronic address: sxtu@sjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncremental information on coronary physiology and plaque vulnerability may improve risk stratification beyond anatomy. Murray law-based quantitative flow ratio (μFR) and radial wall strain (RWS) are angiography-derived indices for assessing coronary physiology and plaque vulnerability, but their impact on revascularization decisions remains unclear.

objectivesThe authors aimed to evaluate the impact of incremental availability of μFR and RWS on revascularization decisions.

methodsA web-based survey was conducted, comprising 25 angiographically intermediate lesions. Data from μFR, RWS, and optical coherence tomography (OCT) were stepwisely available to participating cardiologists to make revascularization decisions (medical therapy alone or revascularization) for each lesion: Decision I was made based on angiography and clinical data, Decision II was made after μFR was disclosed, Decision III followed after RWS disclosure, and Decision IV followed after OCT disclosure.

resultsA total of 87 interventional cardiologists from 30 Chinese clinical centers provided 1,975 lesion-based decision sets. Following stepwise data disclosure, revascularization decisions remained unchanged in 1,013 (51.3%) decision sets. From Decision I to Decision II, 416 (21.1%) treatment recommendations changed, with 322 shifting from revascularization to medical therapy. From Decision II to Decision III, 315 (15.9%) recommendations changed, with 223 from medical therapy to revascularization. From Decision III to Decision IV, 564 (28.6%) recommendations changed, with 526 from medical therapy to revascularization. If decisions were strictly based on OCT-derived lipid-to-cap ratio, a validated quantification of plaque vulnerability, only 317 (16.1%) decisions would change from Decision III to Decision IV.

conclusionsRevascularization decisions for intermediate lesions changed significantly with sequential diagnostic data. Adding μFR to angiography decreased revascularization rates. Adding plaque vulnerability assessment significantly increased revascularization rates.

Indexed as

coronary angiographyoptical coherence tomographyquantitative flow ratioradial wall strainrevascularization decision making

Identifiers

PMID41105083
PMCPMC12904827

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.