Evidence map›Paper›PMID 36445675›Full record

ArticleThe international journal of cardiovascular imaging2022

Quantitative flow ratio to predict long-term coronary artery bypass graft patency in patients with left main coronary artery disease.

Cameron Dowling, Adam J Nelson, Ren Yik Lim, Jun Michael Zhang, Kevin Cheng, Julian A Smith, Sujith Seneviratne, Yuvaraj Malaiapan, Sarah Zaman, Dennis T L Wong

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Cameron DowlingMonashHeart, Monash Health and Monash Cardiovascular Research Centre, Monash University, Melbourne, Australia. cameron.dowling@monashhealth.org.ORCID http://orcid.org/0000-0003-3191-5361
Adam J NelsonMonashHeart, Monash Health and Monash Cardiovascular Research Centre, Monash University, Melbourne, Australia.
Ren Yik LimMonashHeart, Monash Health and Monash Cardiovascular Research Centre, Monash University, Melbourne, Australia.
Jun Michael ZhangMonashHeart, Monash Health and Monash Cardiovascular Research Centre, Monash University, Melbourne, Australia.
Kevin ChengMonashHeart, Monash Health and Monash Cardiovascular Research Centre, Monash University, Melbourne, Australia.
Julian A SmithDepartment of Cardiothoracic Surgery, Monash Health and Department of Surgery (School of Clinical Sciences at Monash Health), Monash University, Melbourne, Australia.
Sujith SeneviratneMonashHeart, Monash Health and Monash Cardiovascular Research Centre, Monash University, Melbourne, Australia.
Yuvaraj MalaiapanMonashHeart, Monash Health and Monash Cardiovascular Research Centre, Monash University, Melbourne, Australia.
Sarah ZamanDepartment of Cardiology, Westmead Hospital and Westmead Applied Research Centre, University of Sydney, Sydney, Australia.
Dennis T L WongMonashHeart, Monash Health and Monash Cardiovascular Research Centre, Monash University, Melbourne, Australia.
Monash Health · AUDuke University · USThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFractional flow reserve (FFR) has been demonstrated in some studies to predict long-term coronary artery bypass graft (CABG) patency. Quantitative flow ratio (QFR) is an emerging technology which may predict FFR. In this study, we hypothesised that QFR would predict long-term CABG patency and that QFR would offer superior diagnostic performance to quantitative coronary angiography (QCA) and intravascular ultrasound (IVUS).

methodsA prospective study was performed on patients with left main coronary artery disease who were undergoing CABG. QFR, QCA and IVUS assessment was performed. Follow-up computed tomography coronary angiography and invasive coronary angiography was undertaken to assess graft patency.

resultsA total of 22 patients, comprising of 65 vessels were included in the analysis. At a median follow-up of 3.6 years post CABG (interquartile range, 2.3 to 4.8 years), 12 grafts (18.4%) were occluded. QFR was not statistically significantly higher in occluded grafts (0.81 ± 0.19 vs. 0.69 ± 0.21; P = 0.08). QFR demonstrated a discriminatory power to predict graft occlusion (area under the receiver operating characteristic curve, 0.70; 95% confidence interval [CI], 0.52 to 0.88; P = 0.03). At long-term follow-up, the risk of graft occlusion was higher in vessels with a QFR > 0.80 (58.6% vs. 17.0%; hazard ratio, 3.89; 95% CI, 1.05 to 14.42; P = 0.03 by log-rank test). QCA (minimum lumen diameter, lesion length, diameter stenosis) and IVUS (minimum lumen area, minimum lumen diameter, diameter stenosis) parameters were not predictive of long-term graft patency.

conclusionsQFR may predict long-term graft patency in patients undergoing CABG.

Indexed as

Coronary Artery DiseaseFractional Flow Reserve, MyocardialConstriction, PathologicCoronary AngiographyCoronary Artery BypassHumansPredictive Value of TestsProspective StudiesComputed tomography coronary angiographyCoronary artery bypass graftingGraft occlusionQuantitative flow reserve

Identifiers

PMID36445675
PMCPMC9708783
OpenAlexW4293586547

What OpenQuestion holds

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LicenceCC BY
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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.