Guide to presenting clinical prediction models for use in clinical settings.
For permission to use (where not already granted under a licence) please go to. Clinical prediction models estimate the risk of existing disease or future outcome for an individual, which is conditional on the values of multiple predictors such as age, sex, and biomarkers. In this article, Bonnett a...
| Main Authors: | , , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
BMJ Publishing
2019
|
| _version_ | 1797098297488310272 |
|---|---|
| author | Bonnett, L Snell, K Collins, G Riley, R |
| author_facet | Bonnett, L Snell, K Collins, G Riley, R |
| author_sort | Bonnett, L |
| collection | OXFORD |
| description | For permission to use (where not already granted under a licence) please go to. Clinical prediction models estimate the risk of existing disease or future outcome for an individual, which is conditional on the values of multiple predictors such as age, sex, and biomarkers. In this article, Bonnett and colleagues provide a guide to presenting clinical prediction models so that they can be implemented in practice, if appropriate. They describe how to create four presentation formats and discuss the advantages and disadvantages of each format. A key message is the need for stakeholder engagement to determine the best presentation option in relation to the clinical context of use and the intended users. |
| first_indexed | 2024-03-07T05:07:29Z |
| format | Journal article |
| id | oxford-uuid:da6b3ca2-330a-462e-88df-a18d7c42a4dc |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T05:07:29Z |
| publishDate | 2019 |
| publisher | BMJ Publishing |
| record_format | dspace |
| spelling | oxford-uuid:da6b3ca2-330a-462e-88df-a18d7c42a4dc2022-03-27T09:03:10ZGuide to presenting clinical prediction models for use in clinical settings.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:da6b3ca2-330a-462e-88df-a18d7c42a4dcEnglishSymplectic Elements at OxfordBMJ Publishing2019Bonnett, LSnell, KCollins, GRiley, RFor permission to use (where not already granted under a licence) please go to. Clinical prediction models estimate the risk of existing disease or future outcome for an individual, which is conditional on the values of multiple predictors such as age, sex, and biomarkers. In this article, Bonnett and colleagues provide a guide to presenting clinical prediction models so that they can be implemented in practice, if appropriate. They describe how to create four presentation formats and discuss the advantages and disadvantages of each format. A key message is the need for stakeholder engagement to determine the best presentation option in relation to the clinical context of use and the intended users. |
| spellingShingle | Bonnett, L Snell, K Collins, G Riley, R Guide to presenting clinical prediction models for use in clinical settings. |
| title | Guide to presenting clinical prediction models for use in clinical settings. |
| title_full | Guide to presenting clinical prediction models for use in clinical settings. |
| title_fullStr | Guide to presenting clinical prediction models for use in clinical settings. |
| title_full_unstemmed | Guide to presenting clinical prediction models for use in clinical settings. |
| title_short | Guide to presenting clinical prediction models for use in clinical settings. |
| title_sort | guide to presenting clinical prediction models for use in clinical settings |
| work_keys_str_mv | AT bonnettl guidetopresentingclinicalpredictionmodelsforuseinclinicalsettings AT snellk guidetopresentingclinicalpredictionmodelsforuseinclinicalsettings AT collinsg guidetopresentingclinicalpredictionmodelsforuseinclinicalsettings AT rileyr guidetopresentingclinicalpredictionmodelsforuseinclinicalsettings |