ArticleDiagnostic and prognostic research2022
Targeted validation: validating clinical prediction models in their intended population and setting.
Article in Diagnostic and prognostic research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 3 of them syntheses that pooled it.
What it found
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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.
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Who cites it
58 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Risk prediction models for venous thromboembolism in lung cancer patients after surgery: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- Prediction models for self-harm and suicide: a systematic review and critical appraisal.BMC medicine · 2025Pooled it
- Violence risk assessment instruments in forensic psychiatric populations: a systematic review and meta-analysis.The lancet. Psychiatry · 2023Pooled it
- Comparison of Methods for Incorporating Related Data When Developing Clinical Prediction Models: A Simulation Study.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Scoping review of methodology for aiding generalisability and transportability of clinical prediction models.Diagnostic and prognostic research · 2026Review
- End-of-life prognostic models in advanced cancer: a scoping review of model development, validation, and impact.BMC palliative care · 2026Article
- Validation of a Machine Learning Approach to the Analysis of Multifocal Electroretinograms for Hydroxychloroquine Retinopathy.Translational vision science & technology · 2026Article
- Machine learning in early prediction of acute kidney injury: model reliability, clinical applicability, and generalizability.International urology and nephrology · 2026Article
- Predicting long-term poor outcomes in individuals at clinical high risk for psychosis using real-world clinical data: the OASIS1000 prospective study.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Predictive performance precision analysis in medicine: identification of low-confidence predictions at patient and profile levels (MED3pa I).Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Moving beyond the benchmarks: Five foundational principles for meaningful AI evaluation in healthcare.PLOS digital health · 2026Article
- Validation of a Risk-Prediction Model in the Presence of Outcome Misclassification.Statistics in medicine · 2026Article
- Machine Learning Models for Individualized Osteoradionecrosis Risk Prediction in Head and Neck Cancer.Journal of medical systems · 2026Article
- Transfer-learning on federated observational healthcare data for prediction models using Bayesian sparse logistic regression with informed priors.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Attrition and representativeness in development and validation of online symptom checkers-a case study on theFrontiers in artificial intelligence · 2026Article
- From bedside to bench: towards clinical predictive AI research that achieves real-world impact.BMJ digital health & AI · 2026Review
- Reframing precision nutrition in irritable bowel syndrome: a mechanism-informed conceptual framework for responder prediction and clinical translation.Frontiers in immunology · 2026Review
- Validation of a Machine Learning Model for Predicting Postmastectomy Radiotherapy Recommendation Following Immediate Breast Reconstruction.Plastic and reconstructive surgery. Global open · 2025Article
- Performance of clinical prediction models for chronic kidney disease among people with diabetes: external validation using the Canadian Primary Care Sentinel Surveillance Network (CPCSSN).Diagnostic and prognostic research · 2025Article
- Construction and validation of a multi-dimensional health indicator-driven osteoporosis risk prediction model: a large-sample cross-sectional study based on two centers.BMC musculoskeletal disorders · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Clinical prediction models must be appropriately validated before they can be used. While validation studies are sometimes carefully designed to match an intended population/setting of the model, it is common for validation studies to take place with arbitrary datasets, chosen for convenience rather than relevance. We call estimating how well a model performs within the intended population/setting "targeted validation". Use of this term sharpens the focus on the intended use of a model, which may increase the applicability of developed models, avoid misleading conclusions, and reduce research waste. It also exposes that external validation may not be required when the intended population for the model matches the population used to develop the model; here, a robust internal validation may be sufficient, especially if the development dataset was large.
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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.