ArticleeLife2021
Development and validation of a nomogram to better predict hypertension based on a 10-year retrospective cohort study in China.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Prognostic risk models for incident hypertension: A PRISMA systematic review and meta-analysis.PloS one · 2024Pooled it
- Explainable machine learning for hypertension prevalence classification: a cross-sectional study in Hainan Province, China.Frontiers in cardiovascular medicine · 2026Article
- Development and validation of a hypoglycemia risk prediction tool for hospitalized patients with type 2 diabetes mellitus treated with insulin.World journal of diabetes · 2025Article
- Predicting hypertension in type 2 diabetes mellitus: Insights from a nomogram model.World journal of diabetes · 2025Article
- Hypertension and its determinants in Abu Dhabi population: a retrospective cohort study.Journal of hypertension · 2025Article
- Development and Validation of a New Nomogram for Predicting Medication Nonadherence Risk in a Chinese Hyperlipidemia Population.Patient preference and adherence · 2025Article
- Development and Validation of a Nomogram-Based Model to Predict Primary Hypertension Within the Next Year in Children and Adolescents: Retrospective Cohort Study.Journal of medical Internet research · 2024Article
- Development and validation of a nomogram model for predicting the risk of hypertension in Bangladesh.Heliyon · 2024Article
- Article
- Association of the Triglyceride-Glucose Index With Resistant Hypertension and a Nomogram Model Construction.Journal of the American Heart Association · 2024Article
- Development and validation of a prediction nomogram for sleep disorders in hospitalized patients with acute myocardial infarction.BMC cardiovascular disorders · 2024Article
- Multimodal Data Integration Enhance Longitudinal Prediction of New-Onset Systemic Arterial Hypertension Patients with Suspected Obstructive Sleep Apnea.Reviews in cardiovascular medicine · 2024Article
- Development and validation of nomograms based on pre-/post-operative CEA and CA19-9 for survival predicting in stage I-III colorectal cancer patients after radical resection.Frontiers in oncology · 2024Article
- Association between triglyceride glucose index and H-type hypertension in postmenopausal women.Frontiers in cardiovascular medicine · 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
- Construction and internal validation of a novel nomogram for predicting prognosis of infective endocarditis.Scientific reports · 2022Article
- Establishment and evaluation of a risk-prediction model for hypertension in elderly patients with NAFLD from a health management perspective.Scientific reports · 2022Article
- Conditional survival nomogram predicting real-time prognosis of locally advanced breast cancer: Analysis of population-based cohort with external validation.Frontiers in public health · 2022Article
- Relationship between occupational noise exposure and hypertension: Cross-sectional evidence from real-world.Frontiers in public health · 2022Article
- Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants.Frontiers in cardiovascular medicine · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Hypertension is a highly prevalent disorder. A nomogram to estimate the risk of hypertension in Chinese individuals is not available. Methods: 6201 subjects were enrolled in the study and randomly divided into training set and validation set at a ratio of 2:1. The LASSO regression technique was used to select the optimal predictive features, and multivariate logistic regression to construct the nomograms. The performance of the nomograms was assessed and validated by AUC, C-index, calibration curves, DCA, clinical impact curves, NRI, and IDI. Results: The nomogram Conclusions: We have constructed a nomogram that can be effectively used in the preliminary and in-depth risk prediction of hypertension in a Chinese population based on a 10-year retrospective cohort study. Funding: This study was supported by the Hebei Science and Technology Department Program (no. H2018206110).
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