Risk of serious adverse events after primary shoulder replacement: development and external validation of a prediction model using linked national data from England and Denmark
<p><strong>Background</strong></p> Despite a rising rate of serious medical complications after shoulder replacement surgery, there are no prediction models in widespread use to guide surgeons in identifying patients at high risk and to provide patients with personalised risk...
| Principais autores: | , , , , , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
Elsevier
2024
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