SynthesisPloS one2013
Risk models to predict hypertension: a systematic review.
Synthesis in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 8 of them syntheses that pooled 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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
84 citing papers in PubMed, 8 syntheses or guidelines pooled it, 155 citations in OpenAlex.
- Systematic review of prediction models and meta-analysis of risk factors for invasive fungal infection in children.BMJ open · 2026Pooled it
- Predictive variables and diagnostic performance of cross-sectional models for hypertension detection: a systematic review.Frontiers in cardiovascular medicine · 2025Pooled 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
- Pooled it
- Recent development of risk-prediction models for incident hypertension: An updated systematic review.PloS one · 2017Pooled it
- Pooled it
- E-selectin gene polymorphisms and essential hypertension in Asian population: an updated meta-analysis.PloS one · 2014Pooled it
- Validating the Framingham Hypertension Risk Score: A 4-year follow-up from the Brazilian Longitudinal Study of the Adult Health (ELSA-Brasil).Journal of clinical hypertension (Greenwich, Conn.) · 2020Trial
- Prognostic Models for Incident Hypertension: Time to Move from Development to Implementation-An Umbrella Review.Diagnostics (Basel, Switzerland) · 2026Review
- Multi-horizon machine learning for population-level hypertension risk stratification in the UK Biobank.European heart journal. Digital health · 2026Article
- Development and validation of a hypertension risk prediction model using electronic health records data from general practices in Hampshire and Isle of Wight integrated care system.BMC cardiovascular disorders · 2026Article
- Development and Internal Validation of Machine-Learning Models for Short-Term Prediction of Day-to-Day Home Blood Pressure Variability Using IoT-Based Environmental and Activity Data: Protocol for the AURA-BPV Study.Circulation reports · 2026Article
- Development of a Sex-Specific Prevalent Hypertension Discrimination Model in Korean Adults Using Genetic Risk Scores and Clinical Biomarkers: A Cross-Sectional Study.Current issues in molecular biology · 2026Article
- Pregnancy complications and risk of cardiometabolic-renal conditions in 1.4 million women in England: longitudinal study.BMJ medicine · 2026Article
- Prevalence of undiagnosed hypertension and risk assessment using a validated survey in community-based screening in Amman, Jordan.PloS one · 2026Article
- Understanding the factors associated with hypertension in the Western Himalaya: a GIS integrated analysis.BMC public health · 2025Article
- Development and Validation of an Incident Hypertension Risk Prediction Model for Young Adults.Journal of the American Heart Association · 2025Article
- Beyond the Tip of the Iceberg: Rethinking Hypertension Screening in Young Adults.Journal of the American Heart Association · 2025Article
- Trends in the Incidence of Hypertension Among Healthy Adults Across 6 Decades.Mayo Clinic proceedings · 2025Article
24 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs well as being a risk factor for cardiovascular disease, hypertension is also a health condition in its own right. Risk prediction models may be of value in identifying those individuals at risk of developing hypertension who are likely to benefit most from interventions. METHODS AND
findingsTo synthesize existing evidence on the performance of these models, we searched MEDLINE and EMBASE; examined bibliographies of retrieved articles; contacted experts in the field; and searched our own files. Dual review of identified studies was conducted. Included studies had to report on the development, validation, or impact analysis of a hypertension risk prediction model. For each publication, information was extracted on study design and characteristics, predictors, model discrimination, calibration and reclassification ability, validation and impact analysis. Eleven studies reporting on 15 different hypertension prediction risk models were identified. Age, sex, body mass index, diabetes status, and blood pressure variables were the most common predictor variables included in models. Most risk models had acceptable-to-good discriminatory ability (C-statistic>0.70) in the derivation sample. Calibration was less commonly assessed, but overall acceptable. Two hypertension risk models, the Framingham and Hopkins, have been externally validated, displaying acceptable-to-good discrimination, and C-statistic ranging from 0.71 to 0.81. Lack of individual-level data precluded analyses of the risk models in subgroups.
conclusionsThe discrimination ability of existing hypertension risk prediction tools is acceptable, but the impact of using these tools on prescriptions and outcomes of hypertension prevention is unclear.
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What OpenQuestion holds
Registered trials
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.