Evidence map›Paper›PMID 40588392›Full record

Observational studyBMJ open2025

Are diabetes and blood sugar control associated with the diagnosis of eye diseases? An English prospective observational study of glaucoma, diabetic eye disease, macular degeneration and cataract diagnosis trajectories in older age.

Caitlin Lin, Stephen Jivraj

Abstract readObservational Study
In one paragraph

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

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Caitlin LinUCL Global Business School for Health, London, UK.ORCID http://orcid.org/0009-0004-0270-499X
Stephen JivrajUCL Institute of Epidemiology and Health Care, London, UK stephen.jivraj@ucl.ac.uk.ORCID http://orcid.org/0000-0001-5751-983X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe growing global burden of diabetes suggests a currently unrealised growth in prevalence of eye disease. This prospective observational study addresses gaps in evidence of blood sugar control as a risk factor for the diagnosis of glaucoma, diabetic eye disease, macular degeneration and cataract using waves 2-9 (2004-2019) of the English Longitudinal Study of Ageing.

methodsLogistic regression modelling is used to predict the probability of self-reported diagnosis of four eye conditions separately over a 14-year period in a community-dwelling sample in England. Analysis of approximately 29 000 person observations over eight study waves from around 5600 participants for each eye disease is conducted with an average of 5.7 waves per participant. Participants' baseline blood sugar control is categorised as non-diabetic (diabetes not previously diagnosed and glycated haemoglobin (HbA1c)<6.5), controlled (diabetes previously diagnosed and HbA1c<6.5), uncontrolled (diabetes previously diagnosed and HbA1c≥6.5) and undiagnosed (diabetes not previously diagnosed and HbA1c≥6.5). Controls at baseline for age, sex, physical activity level, body mass index and smoking status are included in the regression analysis.

resultsThe mean age of the sample is 66 and 53% are female. The main finding from this study is that older adults in England who are controlling a diabetes diagnosis have a lower probability of developing glaucoma, diabetic eye disease or macular degeneration compared with those either without a diabetes diagnosis or with uncontrolled diabetes. Compared with those with controlled diabetes, the adjusted odds of developing glaucoma was 1.29 times higher (95% CI 1.01 to 1.65) among those not diabetic; the adjusted odds of developing diabetic eye disease was 1.20 times higher (95% CI 1.00 to 1.45) among those with uncontrolled diabetes; and the adjusted odds of developing macular degeneration was 1.38 times higher (95% CI 1.04 to 1.82) among those with undiagnosed diabetes. There was no statistically significant difference in the probability of developing cataracts by category of blood sugar control.

conclusionThis study illustrates the importance of blood sugar control in the development of eye diseases and therefore supports more regular screening measures for eye disease in older age among groups at risk of diabetes.

Indexed as

CataractDiabetes MellitusDiabetic RetinopathyGlaucomaGlycemic ControlMacular DegenerationAgedAged, 80 and overBlood GlucoseEnglandFemaleGlycated HemoglobinHumansLogistic ModelsLongitudinal StudiesMaleBlood GlucoseGlycated HemoglobinAgingDiabetes Mellitus, Type 2Diabetic retinopathyEPIDEMIOLOGYOPHTHALMOLOGY

Identifiers

PMID40588392
PMCPMC12228458

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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.