Evidence map›Paper›PMID 40035945›Full record

ArticleGeroScience2025

Accelerated retinal ageing and multimorbidity in middle-aged and older adults.

Ruiye Chen, Xiaomin Zeng, Wenyi Hu, Deepak Jeyarajan, Zhen Yu, Wei Wang, Zongyuan Ge, Xianwen Shang, Mingguang He, Zhuoting Zhu

Abstract read
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Functional, molecular, and digital measurements of biological age.The Journal of clinical investigation · 2026
    Review
  2. 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

10 authors.

Ruiye ChenCentre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, Australia.
Xiaomin ZengDepartment of Ophthalmology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China.
Wenyi HuCentre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, Australia.
Deepak JeyarajanCentre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, Australia.
Zhen YuFaculty of IT, Monash University, Melbourne, Australia.
Wei WangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China.
Zongyuan GeFaculty of IT, Monash University, Melbourne, Australia.
Xianwen ShangCentre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, Australia.
Mingguang HeDepartment of Surgery, University of Melbourne, Melbourne, Australia.
Zhuoting ZhuCentre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, Australia. lisa.zhu@unimelb.edu.au.ORCID 0000-0002-9897-1192

Funding

Global STEM Professorship Scheme P0046113NHMRC Investigator Grant 2010072NHMRC Investigator Grant APP1175405
6 · The paper itself

Abstract

The aim of this study is to investigate the association between retinal age gap and multimorbidity. Retinal age gap was calculated based on a previously developed deep learning model for 45,436 participants. The number of age-related conditions reported at baseline was summed and categorized as zero, one, or at least two conditions at baseline (multimorbidity). Incident multimorbidity was defined as having two or more age-related diseases onset during the follow-up period. Linear regressions were fit to examine the associations of disease numbers at baseline with retinal age gaps. Cox proportional hazard regression models were used to examine associations of retinal age gaps with the incidence of multimorbidity. In the fully adjusted model, those with multimorbidity and one disease both showed significant increases in retinal age gaps at baseline compared to participants with zero disease number (β = 0.254, 95% CI 0.154, 0.354; P < 0.001; β = 0.203, 95% CI 0.116, 0.291; P < 0.001; respectively). After a median follow-up period of 11.38 (IQR, 11.26-11.53; range, 0.02-11.81) years, a total of 3607 (17.29%) participants had incident multimorbidity. Each 5-year increase in retinal age gap at baseline was independently associated with an 8% increase in the risk of multimorbidity (HR = 1.08, 95% CI 1.02, 1.14, P = 0.008). Our study demonstrated that an increase of retinal age gap was independently associated with a greater risk of incident multimorbidity. By recognizing deviations from normal aging, we can identify individuals at higher risk of developing multimorbidity. This early identification facilitates patients' self-management and personalized interventions before disease onset.

Indexed as

AgingMultimorbidityRetinaAgedFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRisk FactorsAssociationBiological ageMultimorbidityRetinal age

Identifiers

PMID40035945
PMCPMC12181587

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.