Evidence map›Paper›PMID 40841337›Full record

ArticleJournal of diabetes2025

Association Between Serum Advanced Glycation End Products and Cardiovascular-Kidney-Metabolic (CKM) Syndrome: A 3-Year Longitudinal Cohort Study (2019-2022).

Hui Zhao, Ze-Wen Zhang, Tao Luo, Dilihumaer Aili, Wen-Huan Ding, Yuan-Yuan Li, Yuan-Sheng Gu, Shulipan Aslibek, Jing-Jing He, Wen-Hui Yu and 7 more

Abstract read
In one paragraph

Article in Journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Review
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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

17 authors.

Hui ZhaoDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.ORCID https://orcid.org/0000-0002-3551-1551
Ze-Wen ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Tao LuoDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Dilihumaer AiliDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Wen-Huan DingCentral Laboratory of Xinjiang Medical University, Urumqi, China.
Yuan-Yuan LiDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Yuan-Sheng GuDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Shulipan AslibekDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Jing-Jing HeDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Wen-Hui YuDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Run-Ze MaDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Anaer GaoshaoDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Ting-Ting QiaoDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Guo-Zhen ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Henry S LynnDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.
Mu-Long DuDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Jiang-Hong DaiDepartment of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi, China.

Funding

Key Laboratory of Special Environment and Health Research in Xinjiang SKL-SEHR-2021-07National Natural Science Foundation of China 82160640National Natural Science Foundation of China 82360662Natural Science Foundation of Xinjiang Uygur Autonomous Region 2022D01C437Open Project Program of Institute of Medical Sciences of Xinjiang Medical University YXYJ20240201
6 · The paper itself

Abstract

backgroundCardiovascular-kidney-metabolic (CKM) syndrome begins with obesity and glucose abnormalities, advancing to cardiovascular and kidney complications. This study investigates the relationship of advanced glycation end products (AGEs) with CKM syndrome staging and transition patterns.

methodsThis 3-year longitudinal study (2019-2022) of 1264 adults identified five CKM trajectory groups: Group 1 (stable low-risk, 6.7%, stage 0/1), Group 2 (fluctuating, 15.8%, stages 0/1-2), Group 3 (stable intermediate, 52.8%, stage 2), Group 4 (progressors, 8.9%, to stage 3/4), and Group 5 (stable high-risk, 15.8%, stage 3/4), from baseline distributions of stage 0 (1.6%), 1 (12.3%), 2 (71.0%), 3 (5.8%), and 4 (9.2%). Serum AGEs were quantified by UPLC-MS/MS.

resultsHigher AGEs levels showed significant associations with CKM severity, with each 1-SD increase corresponding to a 30% greater likelihood of advanced staging (95% CI:10%-54%). Quartile analysis revealed a dose-response relationship (Q2:1.66[1.15-2.41]; Q3:1.67[1.12-2.48]; Q4:1.92[1.31-2.81]). Longitudinally, the total AGEs score was significantly associated with CKM transition patterns from 2019 to 2022. The odds ratios (ORs) for Group 2, Group 3, Group 4, and Group 5 compared to Group 1 were 1.61 (1.06-2.45), 1.64 (1.11-2.41), 1.71 (1.07-2.73), and 2.03 (1.32-3.13), respectively.

conclusionsThese findings suggest that serum AGEs are linked to CKM severity and progression, potentially serving as biomarkers for CKM staging and targets for intervention.

Indexed as

Cardio-Renal SyndromeCardiovascular DiseasesGlycation End Products, AdvancedMetabolic SyndromeAdultAgedBiomarkersDisease ProgressionFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsBiomarkersGlycation End Products, Advancedcardiovascular‐kidney‐metabolic syndromecohort studyserum advanced glycation end products

Identifiers

PMID40841337
PMCPMC12370401

What OpenQuestion holds

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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 OpenQuestion graph.