Evidence map›Paper›PMID 38117378›Full record

ArticleThe international journal of cardiovascular imaging2024

Quantitative flow ratio computed from invasive coronary angiography as a predictor for cardiac allograft vasculopathy after cardiac transplant.

Harsh Shah, Injoon Lee, Sriram Rao, William Suddath, Maria Rodrigo, Selma Mohammed, Ezequiel Molina, Hector M García-Garcia, Benjamin B Kenigsberg

Abstract read
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In one paragraph

Article in The international journal of cardiovascular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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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

9 authors at 6 institutions in 1 country.

Harsh ShahDepartment of Cardiology, Jefferson Einstein Hospital, Philadelphia, PA, USA.
Injoon LeeDepartment of Medicine, MedStar Georgetown University Hospital, Washington, DC, USA.
Sriram RaoDepartment of Cardiology, MedStar Washington Hospital Center, Washington, DC, USA.
William SuddathDepartment of Cardiology, MedStar Washington Hospital Center, Washington, DC, USA.
Maria RodrigoDepartment of Cardiology, MedStar Washington Hospital Center, Washington, DC, USA.
Selma MohammedDepartment of Cardiology, Creighton University School of Medicine, Omaha, NE, USA.
Ezequiel MolinaDepartment of Cardiac Surgery, Piedmont Heart Institute, Atlanta, GA, USA.
Hector M García-GarciaMedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Washington, DC, USA.
Benjamin B KenigsbergDepartment of Cardiology, MedStar Washington Hospital Center, Washington, DC, USA. benjamin.b.kenigsberg@medstar.net.
MedStar Washington Hospital Center · USCreighton University · USGeorgetown University · USJefferson Hospital · USPiedmont Atlanta Hospital · USResearch Network (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac allograft vasculopathy (CAV) is a significant determinant of long-term survival in heart transplant recipients. Standard CAV screening typically utilizes invasive coronary angiography (ICA). Quantitative flow ratio (QFR) is a computational method for functional testing of coronary stenosis, and may add diagnostic value to ICA in assessing CAV. Consecutive subjects who received heart transplantation and underwent two separate routine coronary angiograms between January 2013 and April 2016 were enrolled. Coronary angiograms and IVUS were performed per local protocol at 1, 2, 3 and 5 years post-transplant. QFR was calculated offline. CAV was assessed semi-quantitively based on coronary angiogram results. Twenty-two patients were enrolled. Mean time from transplant to first included ICA was 2.1 years. QFR in at least 1 coronary vessel was interpretable in 19/22 (86%) of initial ICA (QFR1). QFR1 correlated well with the CAV score derived from the second ICA (CAV2) with a clustering of CAV at lower QFR values. In a receiver-operating characteristic (ROC) analysis, an optimal QFR threshold of 0.88 yielded 0.94 sensitivity and 0.67 specificity (AUC of 0.79) for at least non-obstructive subsequent CAV. Initial angiographically and intravascular ultrasound derived CAV severity poorly predicted subsequent CAV severity. QFR derived from invasive coronary angiography predicts subsequent development of CAV more accurately than angiography and intravascular ultrasound. This novel method of coronary flow assessment in recipients of heart transplantation may be useful to diagnose and predict subsequent CAV development.

Indexed as

Coronary Artery DiseaseHeart TransplantationAllograftsCoronary AngiographyHeartHumansPredictive Value of TestsCardiac allograft vasculopathyCardiac transplantQuantitative flow ratio

Identifiers

PMID38117378
OpenAlexW4390016079

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.