Evidence map›Paper›PMID 41588485›Full record

ArticleEuropean journal of medical research2026

Differential impact of advanced glycation end-products on cardiovascular risk across patient populations measured by skin autofluorescence: a meta-analysis.

Allen Cheng-Wei Li, Shu-Wei Huang, Jui-Ting Chang, Donna Shu-Han Lin

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Article in European journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Allen Cheng-Wei LiDepartment of Medical Education, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
Shu-Wei HuangDepartment of Applied Science, National Taitung University, Taitung City, Taitung County, Taiwan.
Jui-Ting ChangSchool of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan. 091754@mail.fju.edu.tw.
Donna Shu-Han LinDivision of Cardiology, Department of Internal Medicine, Shin Kong Wu Ho-Su Memorial Hospital, No. 95, Wen-Chang Road, Taipei, 111, Taiwan. donna.lin24@gmail.com.

Funding

Ministry of Science and Technology, Taiwan 113-2314-B-341 -001Shin Kong Wu Ho-Su Memorial Hospital 2024SKHADR001
6 · The paper itself

Abstract

backgroundElevated skin autofluorescence (SAF), a marker of advanced glycation end-products (AGEs), predicts cardiovascular outcomes. However, the predictive value of SAF across diabetes mellitus (DM), chronic kidney disease (CKD), and atherosclerotic cardiovascular disease (ASCVD) remains incompletely compared. This meta-analysis aimed to clarify SAF's prognostic strength across these populations, highlighting potential mechanisms and therapeutic implications.

methodsWe performed a systematic search of PubMed, Embase, and Cochrane databases through March 2025, identifying prospective observational studies evaluating associations between SAF and cardiovascular outcomes. Primary endpoints included all-cause mortality, cardiovascular death, cardiovascular disease (CVD), and stroke. Subgroup analyses compared SAF's predictive value in patients stratified by ESRD status (ESRD vs. non-ESRD), dialysis modality (hemodialysis [HD] vs. peritoneal dialysis [PD]), and diabetes type (type 1 vs. type 2 DM).

resultsTwenty-four studies involving 12,361 participants were included. Elevated SAF significantly predicted increased risks of all-cause mortality (hazard ratio [HR] 1.59; 95% confidence interval [CI] 1.37-1.85, I

conclusionsElevated SAF predicts increased cardiovascular risk, with notably stronger associations in chronic kidney disease and end-stage renal disease. These findings support the biological relevance of systemic AGE accumulation. However, further prospective validation and decision-analytic studies are required to assess SAF's incremental predictive value beyond established scores and determine its clinical utility for risk stratification.

Indexed as

Advanced glycation end-productsCardiovascular diseaseChronic kidney diseaseMeta-analysisSkin autofluorescence

Identifiers

PMID41588485
PMCPMC12918632

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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.