Evidence map›Paper›PMID 40664953›Full record

ArticleScientific reports2025

Prevalence and risk factors of hypertensive retinopathy in South Korea based on national health survey data.

Si-Hoon Park, Dongjin Nam, Joon Yul Choi, Tae Keun Yoo

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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Si-Hoon ParkDepartment of Ophthalmology, Hangil Eye Hospital, 35 Bupyeong-daero, Bupyeong-gu, Incheon, 21388, Republic of Korea.
Dongjin NamDepartment of Internal Medicine, Graduate School, College of Medicine, Yonsei University, Seoul, South Korea.
Joon Yul ChoiDepartment of Biomedical Engineering, Yonsei University, Wonju, South Korea.
Tae Keun YooDepartment of Ophthalmology, Hangil Eye Hospital, 35 Bupyeong-daero, Bupyeong-gu, Incheon, 21388, Republic of Korea. fawoo2@yonsei.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the prevalence and risk factors of moderate to severe hypertensive retinopathy among non-diabetic South Korean adults using data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2008-2011. Hypertensive retinopathy was defined through standardized retinal image grading. A multivariable logistic regression model was developed using weighted analysis and predictor selection based on pathophysiological relevance and multicollinearity diagnostics. Final model features included age, systolic blood pressure, HbA1c, total cholesterol, creatinine, and hemoglobin. Among 5,075 participants, the weighted prevalence of moderate to severe hypertensive retinopathy was 0.8%. The prevalence rate increased with higher systolic blood pressure levels. The model demonstrated moderate discrimination, with an average area under the receiver operating characteristic curve (AUC) of 0.721 in 5-fold cross-validation and 0.679 in external validation using the KNHANES 2012 dataset. External validation was performed using averaged predictions from the five internally validated models. The relatively low prevalence of hypertensive retinopathy compared to Western populations may reflect differences in hypertension control, lifestyle, or genetic susceptibility. Future research should explore retinal image analysis and longitudinal datasets to enhance early detection and clarify the systemic implications of hypertensive retinopathy.

Indexed as

HypertensionHypertensive RetinopathyAdultAgedBlood PressureFemaleHealth SurveysHumansMaleMiddle AgedNutrition SurveysPrevalenceRepublic of KoreaRisk FactorsROC CurveHypertensive retinopathyPrediction modelPrevalence studyRisk factorsSystolic blood pressure

Identifiers

PMID40664953
PMCPMC12263851

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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.