Evidence map›Paper›PMID 40696069›Full record

ArticleScientific reports2025

Risk of age-related macular degeneration according to the chronic kidney disease and proteinuria in Korea: a 10-year nationwide cohort study.

Junhee Park, Kyungdo Han, Bongseong Kim, Kyungho Lee, Hye Ryoun Jang, Je Moon Yoon, Dong Hui Lim, Dong Wook Shin

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Article in Scientific reports, 2025. 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

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Junhee ParkCenter for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea.
Kyungdo Han *Department of Statistics and Actuarial Science, Soongsil University, 369 Sangdo-ro, Dongjak-gu Seoul, Seoul, 06978, Republic of Korea. hkd917@naver.com.
Bongseong KimDepartment of Statistics and Actuarial Science, Soongsil University, 369 Sangdo-ro, Dongjak-gu Seoul, Seoul, 06978, Republic of Korea.
Kyungho LeeDivision of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hye Ryoun JangDivision of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Je Moon YoonDepartment of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Dong Hui LimDepartment of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Dong Wook Shin *Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University, 81 Irwon-Ro, Gangnam-gu, Seoul, 06351, Republic of Korea. dwshin.md@gmail.com.

Funding

Ministry of Health and Welfare HI20C1073
6 · The paper itself

Abstract

The association between chronic kidney disease (CKD) and the risk of age-related macular degeneration (AMD) is unclear. Our study aimed to evaluate this relationship considering the potential impact of proteinuria. This retrospective cohort study used a large representative population sample from the Korean National Health Insurance Service database (2009-2019) of individuals who participated in a national health screening program in 2009. CKD was determined by estimated glomerular filtration rate (eGFR). Proteinuria was assessed using dipstick urinalysis. AMD was identified according to International Classification Disease, Tenth Revision, codes in claims data. The Cox regression hazards model was used to estimate the association between CKD and risk of AMD. Among 4,005,946 participants, 400,189 (10.0%) had CKD. There was no significant association between CKD and AMD, but a positive relationship was identified between proteinuria and AMD. In stratification analysis with age and sex, the risk of AMD was more evident in younger (< 65 years) than older individuals (P-interaction < 0.001) and in men than women (P-interaction < 0.001). A positive association between proteinuria and AMD risk was observed and was prominent in younger males.

Indexed as

Macular DegenerationProteinuriaRenal Insufficiency, ChronicAdultAgedCohort StudiesFemaleGlomerular Filtration RateHumansMaleMiddle AgedProportional Hazards ModelsRepublic of KoreaRetrospective StudiesRisk FactorsAge-related macular degenerationChronic kidney diseaseGlomerular filtration rateProteinuria

Identifiers

PMID40696069
PMCPMC12284252

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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.