ArticleJournal of clinical hypertension (Greenwich, Conn.)2013
Predicting the risk of incident hypertension in a Korean middle-aged population: Korean genome and epidemiology study.
Article in Journal of clinical hypertension (Greenwich, Conn.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
29 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Prognostic risk models for incident hypertension: A PRISMA systematic review and meta-analysis.PloS one · 2024Pooled it
- Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis.PloS one · 2022Pooled it
- Recent development of risk-prediction models for incident hypertension: An updated systematic review.PloS one · 2017Pooled it
- Risk models to predict hypertension: a systematic review.PloS one · 2013Pooled it
- Real-World Utility of GWAS-Based Diabetes Mellitus Panel Testing.International journal of molecular sciences · 2025Article
- Genome-Wide Approach of Gene-Nutrient Intake Interaction Study for Essential Hypertension in a Large Korean Cohort (KoGES).Nutrients · 2024Article
- Screening for hypertension in adults: protocol for evidence reviews to inform a Canadian Task Force on Preventive Health Care guideline update.Systematic reviews · 2024Article
- Risk Assessment Score and Chi-Square Automatic Interaction Detection Algorithm for Hypertension Among Africans: Models From the SIREN Study.Hypertension (Dallas, Tex. : 1979) · 2023Article
- Development and Validation of a Hypertension Risk Calculator for Living Kidney Donors.Transplantation · 2023Article
- A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population.Scientific reports · 2023Article
- Association of skeletal muscle mass and risk of hypertension in Korean adults: secondary analysis of data from the community-based prospective cohort study.Frontiers in nutrition · 2023Article
- Development and validation of a model to predict the risk of hypertension using anthropometric indicators in the Chinese population: a retrospective cohort study.American journal of translational research · 2023Article
- Development and validation of a hypertension risk prediction model and construction of a risk score in a Canadian population.Scientific reports · 2022Article
- Development and Validation of a Risk Score Screening Tool to Identify People at Risk for Hypertension in Shanghai, China.Risk management and healthcare policy · 2022Article
- Development of the Hypertension Index Model in General Adult Using the Korea National Health and Nutritional Examination Survey and the Korean Genome and Epidemiology Study.Journal of personalized medicine · 2021Article
- Development of a risk prediction model for incident hypertension in Japanese individuals: the Hisayama Study.Hypertension research : official journal of the Japanese Society of Hypertension · 2021Article
- Article
- Validation of the Framingham hypertension risk score in a middle eastern population: Tehran lipid and glucose study (TLGS).BMC public health · 2021Article
- A hypertension risk score for adults: a population-based cross-sectional study from the Dubai Household Survey 2019.Epidemiology and health · 2021Article
- Analyzing Trio-Anthropometric Predictors of Hypertension: Determining the Susceptibility of Blood Pressure to Sexual Dimorphism in Body Stature.International journal of hypertension · 2021Article
Corrections and comments
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Authors and funding
5 authors.
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Abstract
The objectives of this study were to construct a risk score for predicting incident hypertension by using the Korean Genome and Epidemiology Study (KoGES) data and to compare the performance between KoGES and the Framingham model. A total of 4747 participants were analyzed. The entire cohort was randomly assigned to derivation and validation sets at a ratio of 6:4. A hypertension risk score was developed based on the derivation cohort, using the same risk factors that were used for developing the Framingham hypertension risk score. The accuracy of KoGES and Framingham models was evaluated in terms of calibration and discrimination. The area under receiver operating characteristic (AROC) curves were 0.789 for the Framingham model and 0.791 for the KoGES model. The AROC calculated for the point-based risk score was 0.790, which is almost identical to that for the KoGES model. The Framingham model showed poor agreement (χ(2) =29.73, P=.0002) and underestimated the risk of hypertension in most deciles of predicted risk. The model based on KoGES yielded results similar to the observed risk of hypertension (χ(2) =4.17, P=.8415). This study demonstrates that the Framingham risk score based on data from a non-Korean population can lead to the underestimation of the prediction risk of hypertension.
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