Evidence mapPaperPMID 38708513Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2024

[Correlation between insulin resistance and coronary collateral circulation in patients with chronic total coronary occlusion].

S Hu, Z Cheng, M Li, S Gao, D Gao, P Kang

Abstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2024. 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

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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

6 authors.

S HuDepartment of Cardiology, First Affiliated Hospital of Bengbu Medical University, Bengbu 233004, China.
Z ChengDepartment of Cardiology, First Affiliated Hospital of Bengbu Medical University, Bengbu 233004, China.
M LiDepartment of Cardiology, First Affiliated Hospital of Bengbu Medical University, Bengbu 233004, China.
S GaoDepartment of Cardiology, First Affiliated Hospital of Bengbu Medical University, Bengbu 233004, China.
D GaoDepartment of Cardiology, First Affiliated Hospital of Bengbu Medical University, Bengbu 233004, China.
P KangDepartment of Cardiology, First Affiliated Hospital of Bengbu Medical University, Bengbu 233004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the impact of diabetes on collateral circulation (CC) development in patients with chronic total coronary occlusion (CTO) and the underlying regulatory mechanism.

methodsThis study was conducted among 87 patients with coronary heart disease (CHD), who had CTO in at least one vessel as confirmed by coronary angiography. Among them 42 patients were found to have a low CC level (Cohen-Rentrop grades 0-1) and 45 had a high CC level (grades 2-3). In the 39 patients with comorbid diabetes mellitus and 48 non-diabetic patients, insulin resistance (IR) levels were compared between the subgroups with different CC levels. The steady-state mode evaluation method was employed for calculating the homeostatic model assessment for insulin resistance index (HOMA-IR) using a mathematical model. During the interventional procedures, collateral and peripheral blood samples were collected from 22 patients for comparison of the metabolites using non-targeted metabolomics analysis.

resultsNT-proBNP levels and LVEF differed significantly between the patients with different CC levels (

conclusionThe non-diabetic patients with a low level of CC had significant insulin resistance. The degradation pathways of aromatic compounds, fatty acid biosynthesis, and steroid degradation are closely correlated with the development of CC.

Indexed as

Collateral CirculationCoronary OcclusionInsulin ResistanceChronic DiseaseCoronary AngiographyCoronary CirculationDiabetes MellitusFemaleHumansMalechronic total occlusioncollateral circulationcoronary heart diseaseinsulin resistancemetabolomics

Identifiers

PMID38708513
PMCPMC11073937

What Socratic holds

Textmetadata
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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 Socratic graph.