Evidence map›Paper›PMID 40148458›Full record

ArticleScientific reports2025

Prevalence and risk factors of undiagnosed age-related macular degeneration: the Korea National Health and Nutrition Examination Survey 2017-2020.

Yeji Kim, Kyungdo Han, Jae Hui Kim

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Yeji KimDepartment of Ophthalmology, Kim's Eye Hospital, #156 Youngdeungpo-dong 4ga, Youngdeungpo-gu, Seoul, 150-034, South Korea.
Kyungdo Han *Department of Statistics and Actuarial Science, Soongsil University, 369 Sangdo‑ro, Dongjak‑gu, Seoul, 06978, Republic of Korea. hkd917@naver.com.
Jae Hui Kim *Department of Ophthalmology, Kim's Eye Hospital, #156 Youngdeungpo-dong 4ga, Youngdeungpo-gu, Seoul, 150-034, South Korea. kimoph@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the prevalence and risk factors for undiagnosed age-related macular degeneration (AMD) in the Korean population. This cross-sectional study utilized data from the Korea National Health and Nutrition Examination Survey (KNHANES 2017-2020), which included a total of 13,737 subjects of 40 years or older. Cases in which AMD was identified through imaging interpretation of the KNHANES data, but the patients had not received a prior medical diagnosis of AMD, were classified as undiagnosed AMD. The prevalence and risk factors for undiagnosed AMD were analyzed. Among the patients identified to having AMD through KNHANES, the prevalence of undiagnosed AMD was 95.25% (95% confidence interval [CI], 94.13-96.37). Multivariate analysis revealed that a low level of education was significantly associated with a higher risk of undiagnosed AMD (p = 0.0066). A low level of education was also linked to a higher risk of undiagnosed early AMD (p = 0.0369) and neovascular AMD (p = 0.0399). Aging was strongly associated with an increased risk of undiagnosed geographic atrophy (p < 0.0001). Physical activity was associated with a lower risk of undiagnosed neovascular AMD (p = 0.0107). The high prevalence of undiagnosed AMD in the Korean population highlights the need for regular fundus examinations to facilitate accurate detection of AMD. Low education level emerged as a significant risk factor for undiagnosed AMD, emphasizing the importance of targeted interventions for this population to reduce the risk of visual impairment due to AMD.

Indexed as

Macular DegenerationAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceRepublic of KoreaRisk FactorsAge-related macular degenerationNational Health and Nutrition Examination SurveyRisk factorUnrecognized

Identifiers

PMID40148458
PMCPMC11950388

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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.