Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.061 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Prognostic models are abundant in the medical literature yet their use in practice seems limited. In this article, the third in the PROGRESS series, the authors review how such models are developed and validated, and then address how prognostic models are assessed for their impact on practice and patient outcomes, illustrating these ideas with examples.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- PLoS Medicine
- Topic
- Hip and Femur Fractures
- Field
- Medicine
- Canadian institutions
- Dalhousie University
- Funders
- Economic and Social Research CouncilEngineering and Physical Sciences Research CouncilKeele UniversityCancer Research UKDalhousie UniversityNational Institutes of HealthUniversity of BirminghamUniversity of OxfordNova Scotia Health Research FoundationBritish Heart FoundationUniversity College LondonNational Institute of Neurological Disorders and StrokeNational Institute for Health and Care ResearchMedical Research CouncilVersus ArthritisLondon School of Hygiene and Tropical MedicineNederlandse Organisatie voor Wetenschappelijk OnderzoekWellcome TrustCanadian Institutes of Health ResearchQueen Mary University of London
- Keywords
- MedicineIntensive care medicineClinical PracticeMEDLINEPrognostic modelManagement scienceFamily medicineOverall survivalInternal medicinePolitical scienceEngineering
- Has abstract in OpenAlex
- yes