Evidence map›Paper›PMID 30371265›Full record

ArticleJournal of the American Heart Association2018

Optimal Application of Fractional Flow Reserve to Assess Serial Coronary Artery Disease: A 3D-Printed Experimental Study With Clinical Validation.

Bhavik N Modi, Matthew Ryan, Anjalee Chattersingh, Kseniia Eruslanova, Howard Ellis, Nicholas Gaddum, Jack Lee, Brian Clapp, Phil Chowienczyk, Divaka Perera

Open access · goldAbstract readValidation Study
In one paragraph

Article in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Bhavik N Modi1 NIHR Biomedical Research Centre and British Heart Foundation Centre of Excellence School of Cardiovascular Medicine and Sciences St Thomas' Campus King's College London London United Kingdom.
Matthew Ryan1 NIHR Biomedical Research Centre and British Heart Foundation Centre of Excellence School of Cardiovascular Medicine and Sciences St Thomas' Campus King's College London London United Kingdom.
Anjalee Chattersingh1 NIHR Biomedical Research Centre and British Heart Foundation Centre of Excellence School of Cardiovascular Medicine and Sciences St Thomas' Campus King's College London London United Kingdom.
Kseniia Eruslanova1 NIHR Biomedical Research Centre and British Heart Foundation Centre of Excellence School of Cardiovascular Medicine and Sciences St Thomas' Campus King's College London London United Kingdom.
Howard Ellis1 NIHR Biomedical Research Centre and British Heart Foundation Centre of Excellence School of Cardiovascular Medicine and Sciences St Thomas' Campus King's College London London United Kingdom.
Nicholas Gaddum2 School of Biomedical Engineering and Imaging Sciences King's College London London United Kingdom.
Jack Lee2 School of Biomedical Engineering and Imaging Sciences King's College London London United Kingdom.
Brian Clapp1 NIHR Biomedical Research Centre and British Heart Foundation Centre of Excellence School of Cardiovascular Medicine and Sciences St Thomas' Campus King's College London London United Kingdom.
Phil Chowienczyk1 NIHR Biomedical Research Centre and British Heart Foundation Centre of Excellence School of Cardiovascular Medicine and Sciences St Thomas' Campus King's College London London United Kingdom.
Divaka Perera1 NIHR Biomedical Research Centre and British Heart Foundation Centre of Excellence School of Cardiovascular Medicine and Sciences St Thomas' Campus King's College London London United Kingdom.
King's College London · GBBritish Heart Foundation · GB

Funding

British Heart Foundation FS/13/15/30026British Heart Foundation FS/15/78/31678British Heart Foundation FS/18/16/33396Department of Health 10/57/67
6 · The paper itself

Abstract

Background Assessing the physiological significance of stenoses with coexistent serial disease is prone to error. We aimed to use 3-dimensional-printing to characterize serial stenosis interplay and to derive and validate a mathematical solution to predict true stenosis significance in serial disease. Methods and Results Fifty-two 3-dimensional-printed serial disease phantoms were physiologically assessed by pressure-wire pullback (Δ FFR

Indexed as

Printing, Three-DimensionalAngina, StableCoronary StenosisFemaleFractional Flow Reserve, MyocardialHumansMaleMiddle AgedModels, CardiovascularPercutaneous Coronary InterventionPhantoms, Imagingcoronary artery diseasefractional flow reservepercutaneous coronary intervention

Identifiers

PMID30371265
PMCPMC6474982
OpenAlexW2896466497

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.