When and how to use data from randomised trials to develop or validate prognostic models
| Autor: | L. M. Peelen, Karel G. M. Moons, Romin Pajouheshnia, Johannes B. Reitsma, Rolf H.H. Groenwold |
|---|---|
| Přispěvatelé: | Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
Data Interpretation Computer science media_common.quotation_subject Clinical Decision-Making MEDLINE 030204 cardiovascular system & hematology Health outcomes Decision Support Techniques Data Collection/methods 03 medical and health sciences 0302 clinical medicine Theoretical Randomized Controlled Trials as Topic/methods Models medicine Journal Article Humans Medical physics Quality (business) 030212 general & internal medicine Prognostic models media_common Randomized Controlled Trials as Topic Data collection Data Collection Reproducibility of Results General Medicine Statistical Models Theoretical Prognosis Data Accuracy Clinical trial Data Interpretation Statistical Prognostic model Predictive modelling |
| Zdroj: | The BMJ, 365. BMJ Publishing Group British Medical Journal, 365. BMJ Publishing Group Ltd |
| ISSN: | 0959-8146 1756-1833 |
| Popis: | Prediction models have become an integral part of clinical practice, providing information for patients and clinicians and providing support for their shared decision making. The development and validation of prognostic prediction models requires substantial volumes of high quality information on relevant predictors and patient health outcomes. Primary data collection dedicated to prognostic model (development or validation) research could come with substantial time and costs and can be seen as a waste of resources if suitable data are already available. Randomised clinical trials are a source of high quality clinical data with a largely untapped potential for use in further research. This article addresses when and how data from a randomised clinical trial can be used additionally for prognostic model research, and provides guidance for researchers with access to trial data to evaluate the suitability of their data for the development and validation of prognostic prediction models. |
| Databáze: | OpenAIRE |
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