Evidence map›Paper›PMID 34201889›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Performance of Integrated Near-Infrared Spectroscopy and Intravascular Ultrasound (NIRS-IVUS) System against Quantitative Flow Ratio (QFR).

Magdalena M Dobrolińska, Paweł M Gąsior, Elżbieta Pociask, Grzegorz Smolka, Andrzej Ochala, Wojciech Wojakowski, Tomasz Roleder

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. 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
–field-weighted citation impact
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.

  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

7 authors.

Magdalena M DobrolińskaDivision of Cardiology and Structural Heart Diseases, Medical University of Silesia, 40-635 Katowice, Poland.ORCID 0000-0002-7997-5884
Paweł M GąsiorDivision of Cardiology and Structural Heart Diseases, Medical University of Silesia, 40-635 Katowice, Poland.ORCID 0000-0001-8564-7257
Elżbieta PociaskDepartment of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, 30-059 Krakow, Poland.ORCID 0000-0001-8938-1089
Grzegorz SmolkaDivision of Cardiology and Structural Heart Diseases, Medical University of Silesia, 40-635 Katowice, Poland.
Andrzej OchalaDivision of Cardiology and Structural Heart Diseases, Medical University of Silesia, 40-635 Katowice, Poland.
Wojciech WojakowskiDivision of Cardiology and Structural Heart Diseases, Medical University of Silesia, 40-635 Katowice, Poland.ORCID 0000-0002-3681-5207
Tomasz RolederRegional Specialist Hospital, Research and Development Center, 51-124 Wroclaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative flow ratio (QFR) is a new opportunity to analyze functional stenosis during invasive coronary angiography. Together with a well-known intravascular ultrasound (IVUS) and a new player in the field, near-infrared spectroscopy (NIRS), it is gaining a lot of interest. The aim of the study was to compare QFR results with integrated IVUS-NIRS results acquired simultaneously in the same coronary lesion. We retrospectively enrolled 66 patients in whom 66 coronary lesions were assessed by NIRS-IVUS and QFR. Lesions were divided into two groups based on QFR results as QFR-positive group (QFR ≤ 0.8) or QFR-negative group (QFR > 0.8). Based on ROC curve analysis, the best cut-off values of minimal lumen area (MLA), minimal lumen diameter (MLD) and percent diameter stenosis for predicting QFR ≤ 80 were 2.4 (AUC 0.733, 95%CI 0.61, 0.834), 1.6 (AUC 0.768, 95%CI 0.634, 0.872) and 59.5 (AUC 0.918, 95%CI 0.824, 0.971), respectively. In QFR-positive lesions, the maxLCBI

Indexed as

coronary artery diseaseintravascular ultrasoundischemianear-infrared spectroscopyquantitative flow ratio

Identifiers

PMID34201889
PMCPMC8305529

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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.