Evidence map›Paper›PMID 39199801›Full record

ArticleBioengineering (Basel, Switzerland)2024

Plaque Characteristics Derived from Intravascular Optical Coherence Tomography That Predict Cardiovascular Death.

Juhwan Lee, Yazan Gharaibeh, Vladislav N Zimin, Justin N Kim, Neda S Hassani, Luis A P Dallan, Gabriel T R Pereira, Mohamed H E Makhlouf, Ammar Hoori, David L Wilson

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Juhwan LeeDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
Yazan GharaibehDepartment of Biomedical Engineering, Faculty of Engineering, The Hashemite University, Zarqa 13133, Jordan.ORCID 0000-0002-8718-9664
Vladislav N ZiminBrookdale University Hospital Medical Center, 1 Brookdale Plaza, Brooklyn, NY 11212, USA.
Justin N KimDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0003-4713-8552
Neda S HassaniHarrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.ORCID 0000-0001-8492-2683
Luis A P DallanHarrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.
Gabriel T R PereiraHarrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.ORCID 0000-0001-8484-1816
Mohamed H E MakhloufHarrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.ORCID 0000-0002-3592-2844
Ammar HooriDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0002-8458-1214
David L WilsonDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0001-9763-1463

Funding

Cardiovascular risk from comprehensive evaluation of the CT calcium score examR01HL165218 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI Sanjay Rajagopalan, DAVID Lynn WILSON · 2023 to 2026
$3.8M
Pericoronary fat: MACE risk from non-contrast CT and the role of iodine perfusion in contrast CTR01HL167199 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI Sanjay Rajagopalan, DAVID Lynn WILSON · 2023 to 2026
$3.1M
System-independent quantitative cardiac CT perfusionR44HL156811 · NHLBI · BIOINVISION, INC. · PI ROY, DEBASHISH, WILSON, DAVID LYNN · 2021 to 2022
$2.0M
BIOMEDICAL ENGINEERING RESEARCH FACILITIESC06RR012463 · NCRR · CASE WESTERN RESERVE UNIVERSITY · PI KUTINA, KENNETH L · 1997 to 1997
–
NCRR NIH HHS C06 RR012463NHLBI NIH HHS R01 HL165218NHLBI NIH HHS R01 HL167199NHLBI NIH HHS R44 HL156811NIH HHS C06 RR12463NIH HHS R01HL165218NIH HHS R01HL167199NIH HHS R44HL156811
6 · The paper itself

Abstract

This study aimed to investigate whether plaque characteristics derived from intravascular optical coherence tomography (IVOCT) could predict a long-term cardiovascular (CV) death. This study was a single-center, retrospective study on 104 patients who had undergone IVOCT-guided percutaneous coronary intervention. Plaque characterization was performed using Optical Coherence TOmography PlaqUe and Stent (OCTOPUS) software developed by our group. A total of 31 plaque features, including lesion length, lumen, calcium, fibrous cap (FC), and vulnerable plaque features (e.g., microchannel), were computed from the baseline IVOCT images. The discriminatory power for predicting CV death was determined using univariate/multivariate logistic regressions. Of 104 patients, CV death was identified in 24 patients (23.1%). Univariate logistic regression revealed that lesion length, calcium angle, calcium thickness, FC angle, FC area, and FC surface area were significantly associated with CV death (

Indexed as

cardiovascular deathfibrous cap surface areaintravascular optical coherence tomographyOCTOPUSplaque characteristics

Identifiers

PMID39199801
PMCPMC11351967

What Socratic 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 Socratic graph.