Evidence map›Paper›PMID 34126226›Full record

ArticleThe Canadian journal of cardiology2021

The Impact of Virtual Fractional Flow Reserve and Virtual Coronary Intervention on Treatment Decisions in the Cardiac Catheter Laboratory.

Rebecca C Gosling, Zulfiquar Adam, David S Barmby, Javaid Iqbal, Kenneth P Morgan, James D Richardson, Alexander M K Rothman, Patricia V Lawford, D Rodney Hose, Julian P Gunn and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Canadian journal of cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Rebecca C GoslingDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom; Department of Cardiology, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom; Insigneo Institute for In-Silico Medicine, Sheffield, United Kingdom. Electronic address: r.gosling@sheffield.ac.uk.
Zulfiquar AdamDepartment of Cardiology, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom.
David S BarmbyDepartment of Cardiology, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom.
Javaid IqbalDepartment of Cardiology, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom.
Kenneth P MorganDepartment of Cardiology, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom.
James D RichardsonDepartment of Cardiology, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom.
Alexander M K RothmanDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom; Department of Cardiology, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom.
Patricia V LawfordDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom; Insigneo Institute for In-Silico Medicine, Sheffield, United Kingdom.
D Rodney HoseDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom; Insigneo Institute for In-Silico Medicine, Sheffield, United Kingdom; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Julian P GunnDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom; Department of Cardiology, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom; Insigneo Institute for In-Silico Medicine, Sheffield, United Kingdom.
Paul D MorrisDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom; Department of Cardiology, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom; Insigneo Institute for In-Silico Medicine, Sheffield, United Kingdom.
National Health Service · GBInsigneo · GBNorwegian University of Science and Technology · NO

Funding

British Heart Foundation FS/12/85/29869British Heart Foundation FS/16/48/32306British Heart Foundation TG/19/1/34451Wellcome Trust 214567/Z/18/Z
6 · The paper itself

Abstract

backgroundUsing fractional flow reserve (FFR) to guide percutaneous coronary intervention for patients with coronary artery disease (CAD) improves clinical decision making but remains underused. Virtual FFR (vFFR), computed from angiographic images, permits physiologic assessment without a pressure wire and can be extended to virtual coronary intervention (VCI) to facilitate treatment planning. This study investigated the effect of adding vFFR and VCI to angiography in patient assessment and management.

methodsTwo cardiologists independently reviewed clinical data and angiograms of 50 patients undergoing invasive management of coronary syndromes, and their management plans were recorded. The vFFRs were computed and disclosed, and the cardiologists submitted revised plans. Then, using VCI, the physiologic results of various interventional strategies were shown and further revision was invited.

resultsDisclosure of vFFR led to a change in strategy in 27%. VCI led to a change in stent size in 48%. Disclosure of vFFR and VCI resulted in an increase in operator confidence in their decision. Twelve cases were reviewed by 6 additional cardiologists. There was limited agreement in the management plans between cardiologists based on either angiography (kappa = 0.31) or vFFR (kappa = 0.39).

conclusionsvFFR has the potential to alter decision making, and VCI can guide stent sizing. However, variability in management strategy remains considerable between operators, even when presented with the same anatomic and physiologic data.

Indexed as

Cardiac CathetersLaboratoriesAcute Coronary SyndromeAgedClinical Decision-MakingCoronary AngiographyCoronary VesselsFemaleFractional Flow Reserve, MyocardialHumansMalePercutaneous Coronary InterventionRetrospective StudiesVirtual Reality Exposure Therapy

Identifiers

PMID34126226
PMCPMC8639608
OpenAlexW3169416093

What OpenQuestion holds

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LicenceCC BY
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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.