Evidence map›Paper›PMID 42337637›Full record

ArticleJournal of cardiothoracic surgery2026

Bibliometric analysis of research hotspots in coronary artery CT fractional flow reserve for diagnosing myocardial ischemia in coronary artery disease.

Abudounaibi Abudoueryimu, Aibibiguli Xirefu, Zulifeiya Maihemuti, Maimaitiming Mahemuti, Chen Qiaohui, Guzailinuer Keremu, Wang Xiaomei, M A Haihong

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2026. 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

8 authors.

Abudounaibi Abudoueryimu *Kashi Prefecture Second People's Hospital, No. 1, JianKang Road, Kashi, 844000, Xinjiang, China.
Aibibiguli Xirefu *Azak Town Health Center, Kizilsu Kirghiz Autonomous Prefecture Xinjiang Uygur Autonomous Region, Atux, 86845352, China.
Zulifeiya MaihemutiKashi Prefecture Second People's Hospital, No. 1, JianKang Road, Kashi, 844000, Xinjiang, China.
Maimaitiming MahemutiKashi Prefecture Second People's Hospital, No. 1, JianKang Road, Kashi, 844000, Xinjiang, China.
Chen QiaohuiDepartment of Radiology, Minhang Hospital, Fudan Univirsity, No.175, Xinsong Road, Minhang, Shanghai, 86200240, China.
Guzailinuer KeremuKashi Prefecture Second People's Hospital, No. 1, JianKang Road, Kashi, 844000, Xinjiang, China.
Wang XiaomeiKashi Prefecture Second People's Hospital, No. 1, JianKang Road, Kashi, 844000, Xinjiang, China.
M A HaihongKashi Prefecture Second People's Hospital, No. 1, JianKang Road, Kashi, 844000, Xinjiang, China. 609180067@qq.com.

Funding

Development and Clinical Application Study of a Personalized Injection Protocol for Iodinated Contrast Media in Coronary Computed Tomography Angiography ZR202410National Health Commission Capacity Building and Continuing Education Center: Regional Radiology Comprehensive Capacity Enhancement Program JJJX20250081(x)-11
6 · The paper itself

Abstract

objectiveThis study aimed to conduct a comprehensive bibliometric analysis to map the global research landscape, identify evolving hotspots, and forecast future trends in the application of coronary computed tomography-derived fractional flow reserve (CT-FFR) for diagnosing myocardial ischemia in coronary artery disease (CAD).

methodsA systematic literature search was performed in the Web of Science Core Collection for publications from 2015 to 2025, using an expanded strategy combining CT-FFR terms with synonyms for myocardial ischemia and CAD. Bibliometric data visualization and analysis were conducted using CiteSpace and VOSviewer to examine publication trends, national/institutional contributions, collaborative networks, core journals, keyword co-occurrence, and citation bursts.

resultsFrom an initial retrieval of 730 records, 582 eligible publications (405 articles, 117 reviews) were included. Annual publication output showed sustained growth with a compound annual growth rate (CAGR) of 6.4%. The United States led in publication volume (n = 231) and total citations, followed by China in output (n = 143), though with lower average citation impact. International collaboration was prominent, with the US, China, and Italy forming central hubs. JACC: Cardiovascular Imaging was the leading journal in both output and influence. Keyword analysis confirmed "Fractional Flow Reserve," "Coronary Artery Disease," and "Diagnostic Performance" as core themes. Burst detection revealed a clear evolution: early research (2015-2018) focused on technical validation (e.g., "dual source ct"), while recent trends (2022-2025) shifted towards clinical integration, with strong bursts for "stable chest pain," "diagnosis," and "coronary computed tomography angiography."

conclusionThis bibliometric analysis delineates a dynamic and growing CT-FFR research field, marked by a transition from technological exploration to clinical guideline-directed application. The findings highlight distinct geographic patterns of productivity and influence, and clarify the evolution of research priorities towards personalized, ischemia-guided patient management. Future research is anticipated to focus on multimodal integration with plaque and perfusion imaging, artificial intelligence-driven workflow solutions, and evidence generation in complex patient cohorts to solidify clinical adoption.

Indexed as

BibliometricsComputed Tomography AngiographyCoronary Artery DiseaseCoronary VesselsFractional Flow Reserve, MyocardialMyocardial IschemiaTomography, X-Ray ComputedHumansBibliometryCoronary heart diseaseCT-FFRMyocardial ischemiaVisual analysis

Identifiers

PMID42337637
PMCPMC13508465

What OpenQuestion holds

Textmetadata
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.