Evidence map›Paper›PMID 40810699›Full record

SynthesisJournal of evidence-based medicine2025

Comparison of Coronary Angiographic-Derived and Intracoronary Imaging-Based Fractional Flow Reserve in Assessing Coronary Artery Stenosis Severity: A Systematic Review and Network Meta-Analysis.

Jianchang Xie, Lu Ye, Jianmin Yang, Yigang Zhong, Peng Xu, Beibei Gao, Ningfu Wang, Xianhua Ye, Guoxin Tong, Jinyu Huang

Abstract readComparative StudyNetwork Meta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of evidence-based medicine, 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

10 authors.

Jianchang XieDepartment of Cardiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0001-8499-7626
Lu YeThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Jianmin YangDepartment of Cardiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
Yigang ZhongDepartment of Cardiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
Peng XuDepartment of Cardiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
Beibei GaoDepartment of Cardiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
Ningfu WangDepartment of Cardiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
Xianhua YeDepartment of Cardiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
Guoxin TongDepartment of Cardiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
Jinyu HuangDepartment of Cardiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.

Funding

Funds for International Cooperation and Exchange of the National Natural Science Foundation of China 62161160312Hangzhou Agricultural and Social Development Scientific Research Project 20220919Y066Zhejiang Provincial Key Research and Development Program 2020C03018Zhejiang Provincial Science and Technology Programme of Traditional Chinese Medicine 2024ZL752Zhejiang Provincial Science and Technology Programme of Traditional Chinese Medicine 2025ZL457
6 · The paper itself

Abstract

objectiveThis systematic review and network meta-analysis aimed to compare the accuracy of coronary angiographic-derived fractional flow reserve (Angio-FFR), optical coherence tomography (OCT)-FFR, and intravascular ultrasound (IVUS)-FFR in evaluating the severity of coronary artery stenosis.

methodsPubMed, Embase, and Cochrane Library were searched from January 1, 2010 to April 1, 2024 for studies on the accuracy assessment of Angio-FFR, OCT-FFR, and IVUS-FFR. A network meta-analysis was performed with accuracy and analysis of variance models. The diagnostic performance was evaluated through absolute sensitivity (SEN), specificity (SPE), diagnostic dominance index (DDI), and diagnostic odds ratio (DOR), with the corresponding 95% confidence interval (CI).

resultsThe analysis included 86 studies (16,552 lesions). Network meta-analysis showed that IVUS-FFR demonstrated the highest absolute SEN of 0.92 (0.91, 0.94), while OCT-FFR demonstrated the highest absolute SPE of 0.92 (0.91, 0.94). In comparison to Angio-FFR, intracoronary imaging (ICI)-FFR demonstrated superior diagnostic performance, with a DDI and DOR of 1.00 (95% CI: 0.99, 1.01) versus 0.96 (95% CI: 0.94, 0.98) and 79.18 (95% CI: 62.20, 92.35) versus 56.15 (95% CI: 52.86, 59.29), respectively. Furthermore, ICI-FFR demonstrated significantly greater overall accuracy than Angio-FFR, with a relative risk of 1.03 (95% CI: 1.01-1.04).

conclusionThis comprehensive network meta-analysis establishes that ICI-FFR provides superior diagnostic performance for coronary artery stenosis assessment compared to Angio-FFR. These findings support the clinical value of ICI modalities in functional stenosis evaluation.

Indexed as

Coronary AngiographyCoronary StenosisFractional Flow Reserve, MyocardialHumansSeverity of Illness IndexTomography, Optical CoherenceUltrasonography, Interventionalcoronary angiographyfractional flow reserveintravascular ultrasoundnetwork meta‐analysisoptical coherence tomography

Identifiers

PMID40810699
PMCPMC12506960

What OpenQuestion holds

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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 OpenQuestion graph.