ReviewCurrent atherosclerosis reports2023
Polysocial Risk Scores: Implications for Cardiovascular Disease Risk Assessment and Management.
Review in Current atherosclerosis reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis 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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Opportunities and Challenges of Cardiovascular Disease Risk Prediction for Primary Prevention Using Machine Learning and Electronic Health Records: A Systematic Review.Reviews in cardiovascular medicine · 2025Pooled it
- Clustering of Social Determinants of Health and Their Association With Adverse Cardiovascular Outcomes in Atrial Fibrillation.Journal of the American Heart Association · 2026Article
- Composite cardiovascular risk factor control in US adults with diabetes and relation to social determinants of health: TheAmerican journal of preventive cardiology · 2025Article
- Intersectionality of individual and neighborhood-level adverse social determinants of health in early pregnancy.Pregnancy (Hoboken, N.J.) · 2025Article
- Association between polysocial risk score and CVH among women of reproductive age in the SAFE HEART study: An American Heart Association Research Goes Red Initiative.Current problems in cardiology · 2025Article
- Comparative evaluation of ASCVD, SCORE-2, and HEARTS risk scores in Colombian adults at risk of type 2 diabetes: stratification, concordance, and associated factors.Frontiers in cardiovascular medicine · 2025Article
- Standardizing social determinants of health data: a proposal for a comprehensive screening tool to address health equity a systematic review.Health affairs scholar · 2024Article
- Analyzing Multiple Social Determinants of Health Using Different Clustering Methods.International journal of environmental research and public health · 2024Article
- Integrating the Polysocial Risk Score: Enhancing Comprehensive Healthcare Delivery.Methodist DeBakey cardiovascular journal · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewTo review current evidence, discuss key knowledge gaps and identify opportunities for development, validation and application of polysocial risk scores (pSRS) for cardiovascular disease (CVD) risk prediction and population cardiovascular health management. RECENT
findingsLimited existing evidence suggests that pSRS are promising tools to capture cumulative social determinants of health (SDOH) burden and improve CVD risk prediction beyond traditional risk factors. However, available tools lack generalizability, are cross-sectional in nature or do not assess social risk holistically across SDOH domains. Available SDOH and clinical risk factor data in large population-based databases are under-utilized for pSRS development. Recent advances in machine learning and artificial intelligence present unprecedented opportunities for SDOH integration and assessment in real-world data, with implications for pSRS development and validation for both clinical and healthcare utilization outcomes. pSRS presents unique opportunities to potentially improve traditional "clinical" models of CVD risk prediction. Future efforts should focus on fully utilizing available SDOH data in large epidemiological databases, testing pSRS efficacy in diverse population subgroups, and integrating pSRS into real-world clinical decision support systems to inform clinical care and advance cardiovascular health equity.
Indexed as
Identifiers
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.