Evidence map›Paper›PMID 38036801›Full record

ArticleInternal and emergency medicine2024

The combined effects of arteriosclerosis and diabetes on cardiovascular disease risk.

Jing Wang, Ming-Jie Yin, Jun-Wei Zheng, Hui Fang, Xue-Ying Qin, Feng Wang, Shou-Ling Wu, Shi-Qiu Meng

Abstract read
PubMed Publisher
In one paragraph

Article in Internal and emergency medicine, 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
0.4field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

8 authors at 5 institutions in 1 country.

Jing Wang *Medical Informatics Center, Peking University, Beijing, 100191, China.
Ming-Jie Yin *Second Department of Endocrinology and Metabolism, Tangshan Worker Hospital, Tangshan, 063000, China.
Jun-Wei Zheng *National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.
Hui FangSecond Department of Endocrinology and Metabolism, Tangshan Worker Hospital, Tangshan, 063000, China.
Xue-Ying QinDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Feng WangChinese Health Education Center, Beijing, 100011, China. pkuwangfeng@163.com.
Shou-Ling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, 063108, China. drwusl@163.com.
Shi-Qiu MengNational Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China. mengshiqiu@bjmu.edu.cn.
Peking University · CNSecond Hospital of Tangshan · CNBeijing University of Chinese Medicine · CNKailuan General Hospital · CNNational Institutes for Food and Drug Control · CN

Funding

Ministry of Science and Technology of the People's Republic of China 2021ZD0201900National Natural Science Foundation of China 82271533
6 · The paper itself

Abstract

The morbidity and mortality of cardiovascular disease (CVD) rank first among common diseases. Arteriosclerosis and diabetes are risk factors for CVDs, which influence each other. However, their combined effects on CVDs are still unclear. In this study, people who participated in brachial-ankle pulse wave velocity (baPWV) testing and the annual physical examination of the Kailuan Group Finance Co., Ltd., from January 1, 2010, to December 31, 2020, were selected, and their anthropometric, biochemical and epidemiological data were collected. The participants were divided into four groups according to diabetes and arteriosclerosis diagnosis and follow-up. Cox proportional hazards regression and subdistribution hazard models were used to analyse the combined effects of arteriosclerosis and diabetes on CVDs. Multiple sensitivity analyses were also performed. A total of 59,268 Asian populations were selected, including 14,425 females (28.11%) with an average age of 48.10 (± 12.72) years. During follow-up, 1830 subjects developed CVDs (mean follow-up period, 4.72 years). The cumulative incidence rates of the healthy control, diabetes, arteriosclerosis, and comorbidity groups were 5.04% (807/38781), 15.17% (253/3860), 17.04% (465/5987), and 25.59% (305/2684), respectively. The results of multivariate Cox regression analysis showed that compared with the healthy control group, the risk of CVD in the diabetes, arteriosclerosis, and comorbidity groups was significantly increased. Their HR values were 1.88 (95% CI 1.62-2.18), 1.40 (95% CI 1.23-1.60), and 2.10 (95% CI 1.80-2.45), respectively. The results of the sensitivity analysis were robust. For each one standard increase in fasting blood glucose or baPWV, the HR values for CVDs were 1.16 (95% CI 1.12-1.20) and 1.22 (95% CI 1.16-1.28), respectively. The results indicated that both arteriosclerosis and diabetes lead to an increased risk of CVDs. The risk of CVDs, coronary atherosclerotic heart disease, heart failure, stroke, coronary artery bypass grafting and ischemic stroke in patients with arteriosclerosis and diabetes was significantly higher than that in patients with arteriosclerosis or diabetes alone. Therefore, the primary prevention of CVDs in patients with arteriosclerosis complicated with diabetes needs more attention.

Indexed as

AtherosclerosisCardiovascular DiseasesCoronary Artery DiseaseDiabetes MellitusAnkle Brachial IndexFemaleHumansMiddle AgedPulse Wave AnalysisRisk FactorsArteriosclerosisCardiovascular diseaseDiabetes

Identifiers

PMID38036801
OpenAlexW4389208260

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.