Evidence map›Paper›PMID 36919192›Full record

ArticleJournal of diabetes2023

The Association of Retinal age gap with metabolic syndrome and inflammation.

Zhuoting Zhu, Dan Liu, Ruiye Chen, Wenyi Hu, Huan Liao, Katerina Kiburg, Jason Ha, Shuang He, Xianwen Shang, Yu Huang and 4 more

Registry-linked trialOpen access · goldFull text read
In one paragraph

Article in Journal of diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06242535 (Pilot Study of GLY-LOW Supplementation in Postmenopausal Women With Obesity), which is not on this map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.3field-weighted citation impact, top 2% 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.

NCT06242535 early_phase1completednot on this map

Pilot Study of GLY-LOW Supplementation in Postmenopausal Women With Obesity

TypeinterventionalSponsorHoskinson Health and Wellness ClinicRan2023 to 2024Enrolled13ConditionsInsulin Resistance, Obesity, Cardiovascular Diseases, Cognitive ImpairmentArmsGLY-LOW
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Fellow-eye retinal age gap and high injection burden over four years in neovascular age-related macular degeneration.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
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  17. A Novel Foundation Model-Based Framework for Multimodal Retinal Age Prediction.IEEE journal of translational engineering in health and medicine · 2025
    Article
  18. Article
  19. Foundation model-driven distributed learning for enhanced retinal age prediction.Journal of the American Medical Informatics Association : JAMIA · 2024
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  20. 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

14 authors at 4 institutions in 3 countries.

Zhuoting ZhuDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-9897-1192
Dan LiuPopulation Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Ruiye ChenCentre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, Australia.
Wenyi HuCentre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, Australia.
Huan LiaoPopulation Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Katerina KiburgCentre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, Australia.
Jason HaCentre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, Australia.
Shuang HeState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Xianwen ShangCentre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, Australia.
Yu HuangDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Wei WangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Honghua YuDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xiaohong YangDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Mingguang HeDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
The University of Melbourne · AUGuangdong Academy of Medical Sciences · CNGerman Center for Neurodegenerative Diseases · DESun Yat-sen University · CN

Funding

Fundamental Research Funds of the State Key Laboratory of Ophthalmology, National Natural Science Foundation of China 82000901Fundamental Research Funds of the State Key Laboratory of Ophthalmology, National Natural Science Foundation of China 82101173High-level Talent Flexible Introduction Fund of Guangdong Provincial People's Hospital KJ012019530NHMRC Investigator Grants APP1175405Project of Investigation on Health Status of Employees in Financial Industry in Guangzhou, China Z012014075Research Accelerator Program in the University of MelbourneResearch Foundation of Medical Science and Technology of Guangdong Province B2021237Science and Technology Program of Guangzhou, China 202002020049University of Melbourne
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is a clustering of cardiometabolic components, posing tremendous burdens in the aging society. Retinal age gap has been proposed as a robust biomarker associated with mortality and Parkinson's disease. Although MetS and chronic inflammation could accelerate the aging process and increase the risk of mortality, the association of the retinal age gap with MetS and inflammation has not been examined yet.

methodsRetinal age gap (retina-predicted age minus chronological age) was calculated using a deep learning model. MetS was defined as the presence of three or more of the following: central obesity, hypertension, dyslipidemia, hypertriglyceridemia, and hyperglycemia. Inflammation index was defined as a high-sensitivity C-reactive protein level above 3.0 mg/L. Logistic regression models were used to examine the associations of retinal age gaps with MetS and inflammation.

resultsWe found that retinal age gap was significantly associated with MetS and inflammation. Specifically, compared to participants with retinal age gaps in the lowest quartile, the risk of MetS was significantly increased by 10% and 14% for participants with retinal age gaps in the third and fourth quartile (odds ratio [OR]:1.10; 95% confidence interval [CI], 1.01,1.21;, p = .030; OR: 1.14, 95% CI, 1.03,1.26; p = .012, respectively). Similar trends were identified for the risk of inflammation and combined MetS and inflammation.

conclusionWe found that retinal age gaps were significantly associated with MetS as well as inflammation. Given the noninvasive and cost-effective nature and the efficacy of the retinal age gap, it has great potential to be used as a screening tool for MetS in large populations.

Indexed as

HypertensionMetabolic SyndromeHumansInflammationObesityRisk Factorsinflammationmetabolic syndromeretinal age gap代谢综合征炎症视网膜年龄差

Identifiers

PMID36919192
PMCPMC10036256
OpenAlexW4324304708

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read61
Read underepoch 390

Registered trials

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.