ReviewMayo Clinic proceedings. Digital health2025
Implementation and Updating of Clinical Prediction Models: A Systematic Review.
Review in Mayo Clinic proceedings. Digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 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
19 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Can we predict surgical outcomes: A systematic review and critical appraisal of clinical prediction models in epilepsy surgery.Epilepsia · 2026Pooled it
- Machine Learning-Based Prognostic Models for Functional Outcomes in Spinal Cord Injury: Systematic Review.JMIR medical informatics · 2026Pooled it
- Prediction models for progression from diabetic kidney disease to end-stage renal disease: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Prediction models for infection after kidney transplantation: a systematic review.Frontiers in medicine · 2026Pooled it
- Serum BDNF and cognitive risk in maintenance hemodialysis: a machine learning study.Renal failure · 2026Article
- Development and Validation of an Electronic Health Record-Derived Prediction Model for Preventing COVID-19 Hospitalization and Death.Prevention science : the official journal of the Society for Prevention Research · 2026Article
- CPS-Net (Collaborating Physicians in Silico Network): A Decentralized Multi-Agent Transformer Framework for Specialty-Aware Disease Prediction.Journal of medical systems · 2026Article
- From Medical Records to AI-Ready Datasets: A Practical Guide for Clinical Researchers.Journal of clinical medicine · 2026Article
- Article
- Prognostic Clinical Predictive Models for Dental Caries Using Artificial Intelligence: Methodological Considerations.Caries research · 2026Review
- Development and validation of machine learning-based prediction models for adult bowel necrosis for patients presenting with acute abdominal pain at the emergency department: a multicenter retrospective cohort study.BMC medical informatics and decision making · 2026Article
- Rethinking Risk Prediction in Preeclampsia: From Biomarkers to Mechanistic Phenotypes and Longitudinal Models.International journal of molecular sciences · 2026Review
- Impact of an AI prognostic tool on clinician performance in colorectal liver metastases.NPJ digital medicine · 2026Article
- Perceptions of healthcare professionals in rheumatology on the use of prediction models in clinical practice.Rheumatology advances in practice · 2026Article
- AI-driven CRISPR strategies in breast cancer: Organoid modeling, adaptive editing, and precision delivery.Iranian journal of basic medical sciences · 2026Review
- Machine Learning-Based Depression Risk Prediction Models for Older Adults Analyzing From the Perspective of the Health Ecology Model: A Scoping Review.Neuropsychiatric disease and treatment · 2026Review
- Non-Invasive Remote Monitoring in Heart Failure: Towards Wearable Devices and Artificial Intelligence Solutions : Short Title: Remote Monitoring and Wearable Devices in Heart Failure.Current heart failure reports · 2025Review
- Integrating Computational Modelling into the Ecosystem of Cochlear Implantation: Advancing Access to Diagnostics, Decision-Making, and Post-Implantation Outcomes on a Global Scale.Journal of clinical medicine · 2025Article
- Safeguarding AI-driven digital health - An adaptation of the Swiss cheese model for safety.Digital healthArticle
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
No grant is acknowledged in the PubMed record.
Abstract
Objective: To summarize the implementation approaches and updating methods of clinically implemented models and consecutively advise researchers on the implementation and updating. Patients and Methods: We included studies describing the implementation of prognostic binary prediction models in a clinical setting. We retrieved articles from Embase, Medline, and Web of Science from January 1, 2010, to January 1, 2024. We performed data extraction, based on Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis and Prediction Model Risk of Bias Assessment guidelines, and summarized. Results: The search yielded 1872 articles. Following screening, 37 articles, describing 56 prediction models, were eligible for inclusion. The overall risk of bias was high in 86% of publications. In model development and internal validation, 32% of the models was assessed for calibration. External validation was performed for 27% of the models. Most models were implemented into the hospital information system (63%), followed by a web application (32%) and a patient decision aid tool (5%). Moreover, 13% of models have been updated following implementation. Conclusion: Impact assessments generally showed successful model implementation and the ability to improve patient care, despite not fully adhering to prediction modeling best practice. Both impact assessment and updating could play a key role in identifying and lowering bias in models.
Identifiers
What Socratic 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 Socratic graph.