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Aim for Clinical Utility, Not Just Predictive Accuracy
The predictions from an accurate prognostic model can be of great interest to patients and clinicians. When predictions are reported to individuals, they may decide to take action to improve their health or they may simply be comforted by the knowledge. However, if there is a clearly defined space o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144757/ https://www.ncbi.nlm.nih.gov/pubmed/32091429 http://dx.doi.org/10.1097/EDE.0000000000001173 |
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author | Sachs, Michael C. Sjölander, Arvid Gabriel, Erin E. |
author_facet | Sachs, Michael C. Sjölander, Arvid Gabriel, Erin E. |
author_sort | Sachs, Michael C. |
collection | PubMed |
description | The predictions from an accurate prognostic model can be of great interest to patients and clinicians. When predictions are reported to individuals, they may decide to take action to improve their health or they may simply be comforted by the knowledge. However, if there is a clearly defined space of actions in the clinical context, a formal decision rule based on the prediction has the potential to have a much broader impact. The use of a prediction-based decision rule should be formalized and preferably compared with the standard of care in a randomized trial to assess its clinical utility; however, evidence is needed to motivate such a trial. We outline how observational data can be used to propose a decision rule based on a prognostic prediction model. We then propose a framework for emulating a prediction driven trial to evaluate the clinical utility of a prediction-based decision rule in observational data. A split-sample structure is often feasible and useful to develop the prognostic model, define the decision rule, and evaluate its clinical utility. See video abstract at, http://links.lww.com/EDE/B656. |
format | Online Article Text |
id | pubmed-7144757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-71447572020-04-24 Aim for Clinical Utility, Not Just Predictive Accuracy Sachs, Michael C. Sjölander, Arvid Gabriel, Erin E. Epidemiology Methods The predictions from an accurate prognostic model can be of great interest to patients and clinicians. When predictions are reported to individuals, they may decide to take action to improve their health or they may simply be comforted by the knowledge. However, if there is a clearly defined space of actions in the clinical context, a formal decision rule based on the prediction has the potential to have a much broader impact. The use of a prediction-based decision rule should be formalized and preferably compared with the standard of care in a randomized trial to assess its clinical utility; however, evidence is needed to motivate such a trial. We outline how observational data can be used to propose a decision rule based on a prognostic prediction model. We then propose a framework for emulating a prediction driven trial to evaluate the clinical utility of a prediction-based decision rule in observational data. A split-sample structure is often feasible and useful to develop the prognostic model, define the decision rule, and evaluate its clinical utility. See video abstract at, http://links.lww.com/EDE/B656. Lippincott Williams & Wilkins 2020-05 2020-04-02 /pmc/articles/PMC7144757/ /pubmed/32091429 http://dx.doi.org/10.1097/EDE.0000000000001173 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Sachs, Michael C. Sjölander, Arvid Gabriel, Erin E. Aim for Clinical Utility, Not Just Predictive Accuracy |
title | Aim for Clinical Utility, Not Just Predictive Accuracy |
title_full | Aim for Clinical Utility, Not Just Predictive Accuracy |
title_fullStr | Aim for Clinical Utility, Not Just Predictive Accuracy |
title_full_unstemmed | Aim for Clinical Utility, Not Just Predictive Accuracy |
title_short | Aim for Clinical Utility, Not Just Predictive Accuracy |
title_sort | aim for clinical utility, not just predictive accuracy |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144757/ https://www.ncbi.nlm.nih.gov/pubmed/32091429 http://dx.doi.org/10.1097/EDE.0000000000001173 |
work_keys_str_mv | AT sachsmichaelc aimforclinicalutilitynotjustpredictiveaccuracy AT sjolanderarvid aimforclinicalutilitynotjustpredictiveaccuracy AT gabrielerine aimforclinicalutilitynotjustpredictiveaccuracy |