Evidence map›Paper›PMID 37759677›Full record

ArticleBiomolecules2023

Associations of High-Density Lipoprotein Functionality with Coronary Plaque Characteristics in Diabetic Patients with Coronary Artery Disease: Integrated Backscatter Intravascular Ultrasound Analysis.

Kohei Takata, Satoshi Imaizumi, Atsushi Iwata, Bo Zhang, Emi Kawachi, Shin-Ichiro Miura, Masahiro Ogawa

Abstract read
In one paragraph

Article in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Kohei TakataDepartment of Cardiology, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan.
Satoshi ImaizumiDepartment of Cardiology, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan.ORCID 0000-0003-2568-1730
Atsushi IwataDepartment of Cardiology, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan.
Bo ZhangInformation Technology Center, Fukuoka University, Fukuoka 814-0180, Japan.
Emi KawachiDepartment of Bioethics and Medical Ethics, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan.
Shin-Ichiro MiuraDepartment of Cardiology, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan.
Masahiro OgawaDepartment of Cardiology, Fukuoka University School of Medicine, Fukuoka 814-0180, Japan.

Funding

Japan Society for the Promotion of Science 26460664
6 · The paper itself

Abstract

High-density lipoprotein (HDL) functionality has been reported to be associated with coronary artery disease (CAD). However, little is known about the impact of HDL functionality on coronary atherosclerosis. Thirty-eight type 2 diabetic patients with CAD who underwent percutaneous coronary intervention were examined. Coronary atheroma burden and plaque composition of the culprit lesions were assessed using conventional gray-scale and integrated backscatter intravascular ultrasound. HDL-mediated cholesterol efflux capacity (HDL-CEC) and HDL antioxidant capacity, estimated as HDL inflammatory index (HII), were examined. The associations between HDL functionality and coronary plaques were analyzed using multivariate data analysis, including principal components analysis and orthogonal partial least squares (OPLS) models. Percent atheroma volume was correlated with HDL-CEC (r = 0.34,

Indexed as

Coronary Artery DiseaseDiabetes Mellitus, Type 2Lipoproteins, HDLPlaque, AtheroscleroticAgedFemaleHumansMaleMiddle AgedUltrasonography, InterventionalLipoproteins, HDLantioxidant capacitycholesterol efflux capacitycoronary artery diseasehigh-density lipoproteinintravascular ultrasound

Identifiers

PMID37759677
PMCPMC10526738

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.