ReviewDiagnostic and prognostic research2017
Tufts PACE Clinical Predictive Model Registry: update 1990 through 2015.
Review in Diagnostic and prognostic research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 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
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Number of Publications on New Clinical Prediction Models: A Bibliometric Review.JMIR medical informatics · 2025Pooled it
- Research inefficiencies in external validation studies of the Framingham Wilson coronary heart disease risk rule: A systematic review.PloS one · 2024Pooled it
- Predictive models of adverse outcomes of overweight or obesity: a nationwide cohort validation.BMC endocrine disorders · 2026Article
- Clustered flexible calibration plots for binary outcomes using random effects modeling.Research synthesis methods · 2026Article
- Fine tuned CatBoost machine learning approach for early detection of cardiovascular disease through predictive modeling.Scientific reports · 2025Article
- Comment on: "A Machine Learning Approach to Concussion Risk Estimation Among Players Exhibiting Visible Signs in Professional Hockey".Sports medicine (Auckland, N.Z.) · 2025Article
- The stroke outcome optimization project: Acute ischemic strokes from a comprehensive stroke center.Scientific data · 2024Article
- Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system.NPJ digital medicine · 2024Article
- Patients' and physicians' beliefs and attitudes towards integrating personalized risk estimates into patient education about left ventricular assist device therapy.Patient education and counseling · 2024Article
- Current role and future perspectives of artificial intelligence in echocardiography.World journal of cardiology · 2023Review
- Countermeasures for Maintaining Cardiovascular Health in Space Missions.Current cardiology reviews · 2023Article
- Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology.American journal of preventive cardiology · 2022Review
- Does poor methodological quality of prediction modeling studies translate to poor model performance? An illustration in traumatic brain injury.Diagnostic and prognostic research · 2022Article
- Model-Based ROC Curve: Examining the Effect of Case Mix and Model Calibration on the ROC Plot.Medical decision making : an international journal of the Society for Medical Decision Making · 2022Article
- Generalizability of Cardiovascular Disease Clinical Prediction Models: 158 Independent External Validations of 104 Unique Models.Circulation. Cardiovascular quality and outcomes · 2022Article
- A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning-Based Risk Prediction Models.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2022Article
- Cardiovascular Disease Risk Modeling for Astronauts: Making the Leap From Earth to Space.Frontiers in cardiovascular medicine · 2022Review
- Prediction of Critical Care Outcome for Adult Patients Presenting to Emergency Department Using Initial Triage Information: An XGBoost Algorithm Analysis.JMIR medical informatics · 2021Article
- External Validations of Cardiovascular Clinical Prediction Models: A Large-Scale Review of the Literature.Circulation. Cardiovascular quality and outcomes · 2021Review
- Adaptive sample size determination for the development of clinical prediction models.Diagnostic and prognostic research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundClinical predictive models (CPMs) estimate the probability of clinical outcomes and hold the potential to improve decision-making and individualize care. The Tufts Predictive Analytics and Comparative Effectiveness (PACE) CPM Registry is a comprehensive database of cardiovascular disease (CVD) CPMs. The Registry was last updated in 2012, and there continues to be substantial growth in the number of available CPMs.
methodsWe updated a systematic review of CPMs for CVD to include articles published from January 1990 to March 2015. CVD includes coronary artery disease (CAD), congestive heart failure (CHF), arrhythmias, stroke, venous thromboembolism (VTE), and peripheral vascular disease (PVD). The updated Registry characterizes CPMs based on population under study, model performance, covariates, and predicted outcomes.
resultsThe Registry includes 747 articles presenting 1083 models, including both prognostic (
conclusionsThere is substantial redundancy of CPMs for a wide spectrum of CVD conditions. While the number of CPMs continues to increase, model performance is often inadequately reported and calibration is infrequently assessed. More work is needed to understand the potential impact of this literature.
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.