Evidence map›Paper›PMID 35210822›Full record

ArticleInternational journal of general medicine2022

Hemoglobin A1c and Angiographic Severity with Coronary Artery Disease: A Cross-Sectional Study.

Yugang Yan, Ronghua Gao, Shaohui Zhang, Zhencai Gao, Anyong Chen, Jianjun Wang, Shufang Zhang, Wen Dai, Fen Li, Xiangting Li and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Yugang YanSchool of Medical Engineering, Jining Medical University, Jining, Shandong, People's Republic of China.
Ronghua GaoDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Shaohui ZhangDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.ORCID 0000-0002-8536-6348
Zhencai GaoDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Anyong ChenDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Jianjun WangDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Shufang ZhangDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Wen DaiDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Fen LiElectrocardiogram Room, Jining First People's Hospital, Jining, Shandong, People's Republic of China.
Xiangting LiDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Guoliang YangDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Lixin LiuDepartment of Cardiology, Affiliated Hospital of Jining Medical University, Jining, Shandong, People's Republic of China.
Xueying ChenThe Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health, and The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.ORCID 0000-0003-1180-0305
Affiliated Hospital of Jining Medical University · CNQilu Hospital of Shandong University · CNJining First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany studies have shown that glycated hemoglobin (HbA1c) is associated with coronary artery disease (CAD). HbA1c was independently related to angiographic severity in Chinese patients with CAD after adjusting for other covariates. Some traditional cardiovascular drugs may have an impact on this relationship.

methodsThis retrospective study enrolled a total of 572 CAD patients who underwent their coronary angiography and had their HbA1c levels measured at the Chinese Hospital. The complexity of the coronary artery lesions was evaluated using the Syntax score, and the subjects were divided into 4 inter quartiles according to HbA1c levels. Covariates included history of traditional cardiovascular drugs.

resultsThe average age of selected participants was 61.00 ± 9.15 years old, and about 54.72% of them were male. Result of fully adjusted linear regression showed that HbA1c was positively associated with Syntax score after adjusting confounders (β = 1.09, 95% CI: 0.27, 1.91, P = 0.0096). By interaction and stratified analyses, the interactions were observed based on our specification including with the medication history of statins and angiotensin receptor blockers (ARBs) (P values for interaction <0.05).

conclusionIn this study, we found a positive correlation between the HbA1c levels and the SYNTAX score among CAD individuals, and oral statins and ARBs medication could affect the correlation. Thus, HbA1c measurement could be used for the evaluation of the severity and complexity of coronary lesions among CAD patients.

Indexed as

ARBscoronary artery diseaseHbA1cstatinsSYNTAX score

Identifiers

PMID35210822
PMCPMC8857977
OpenAlexW4212956356

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.