Evidence map›Paper›PMID 36820345›Full record

ArticleJTCVS techniques2023

A novel transit-time flow metric, diastolic resistance index, detects subcritical anastomotic stenosis in coronary artery bypass grafting.

Kenichiro Takahashi, Tetsuro Morota, Yosuke Ishii

Open access · goldAbstract read
In one paragraph

Article in JTCVS techniques, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

3 authors at 1 institution in 1 country.

Kenichiro TakahashiDepartment of Cardiovascular Surgery, Nippon Medical School, Tokyo, Japan.
Tetsuro MorotaDepartment of Cardiovascular Surgery, Nippon Medical School, Tokyo, Japan.
Yosuke IshiiDepartment of Cardiovascular Surgery, Nippon Medical School, Tokyo, Japan.
Nippon Medical School · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Transit time flow measurement (TTFM) can detect critical anastomotic stenosis during coronary artery bypass grafting. However, the identification of subcritical stenosis remains challenging. We hypothesized that diastolic resistance index (DRI), a novel TTFM metric, is more effective in evaluating subcritical stenosis than the currently available TTFM metrics. DRI is used to measure changes in the diastolic versus systolic resistance of distal anastomosis. Methods: A total of 123 coronary bypass anastomoses in 35 patients were prospectively analyzed. During coronary artery bypass grafting, the mean graft flow (Q Results: In total, 93 (76%), 13 (10%), and 17 (14%) anastomoses were graded as successful, subcritical, and critical, respectively. DRI and diastolic filling could distinguish subcritical from successful anastomoses ( Conclusions: DRI and diastolic filling had a reliable diagnostic ability for detecting ≥50% stenosis during coronary artery bypass grafting. In left anterior descending artery grafting, DRI had a more satisfactory detection capability than other TTFM metrics.

Indexed as

anastomotic stenosisAUC, area under the curveCABG, coronary artery bypass graftingCCT, coronary computed tomographycoronary artery bypass graftingDF, diastolic fillingDRI, diastolic resistance indexFFR, fractional flow reserveintraoperative graft evaluationITA, internal thoracic arteryLAD, left anterior descending arteryLCx, left circumflex arteryPBS, posterior balanced sensitivityPI, pulsatility indexQmean, mean graft flowRCA, right coronary arteryROC, receiver operator characteristicSVG, saphenous vein grafttransit-time flow measurementTTFM, transit-time flow measurement

Identifiers

PMID36820345
PMCPMC9938392
OpenAlexW4311230037

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.