Evidence map›Paper›PMID 37161539›Full record

ArticleCardiovascular diabetology2023

Impact of individual microvascular disease on the risks of macrovascular complications in type 2 diabetes: a nationwide population-based cohort study.

Fu-Shun Yen, James Cheng-Chung Wei, Ying-Hsiu Shih, Chih-Cheng Hsu, Chii-Min Hwu

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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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

5 authors.

Fu-Shun YenDr Yen's Clinic, Taoyuan, Taiwan.
James Cheng-Chung WeiDepartment of Allergy, Immunology & Rheumatology, Chung Shan Medical University Hospital, Taichung, Taiwan.
Ying-Hsiu ShihGraduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan.
Chih-Cheng HsuInstitute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan. cch@nhri.edu.tw.
Chii-Min HwuFaculty of Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei, Taiwan. chhwu@vghtpe.gov.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study compared the risks of cardiovascular morbidity and mortality between patients with type 2 diabetes (T2D) with and without microvascular diseases, and between matched patients with microvascular diseases.

methodsWe identified newly diagnosed type 2 diabetes patients from National Health Insurance Research Database in Taiwan from January 1, 2008, to December 31, 2019. Propensity score matching was applied to construct matched pairs of patients with diabetic kidney disease, retinopathy, or neuropathy. Multivariable Cox proportional-hazard models were adopted to compare the risks of cardiovascular morbidity and mortality.

resultsPatients with microvascular disease had a significantly higher risk of cardiovascular morbidities and mortality than those without microvascular disease. Among the matched cohorts, patients with diabetic retinopathy had a significantly higher risk of stroke development than those with diabetic kidney disease (aHR 1.11, 95%CI 1.03-1.2). Diabetic neuropathy showed a significantly higher risk of stroke development than diabetic kidney disease (aHR 1.17, 95%CI 1.1-1.25) and diabetic retinopathy (aHR 1.12, 95%CI 1.03-1.21). Diabetic retinopathy had a significantly higher risk of incident heart failure than diabetic kidney disease (aHR 1.43, 95%CI 1.3-1.57), and diabetic neuropathy had a significantly lower risk of incident heart failure than diabetic retinopathy (aHR 0.79, 95%CI 0.71-0.87).

conclusionsT2D patients with microvascular disease have a significantly higher risk of cardiovascular morbidities and mortality than those without microvascular disease. In the matched cohorts, diabetic neuropathy was significantly associated with stroke development, and diabetic retinopathy had a significant association with heart failure compared to other microvascular diseases.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesDiabetic NeuropathiesDiabetic RetinopathyHeart FailureStrokeCohort StudiesHumansCardiovascular deathCoronary artery diseaseDiabetic kidney diseaseDiabetic neuropathyDiabetic retinopathyHeart failureStroke

Identifiers

PMID37161539
PMCPMC10170797

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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.