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Prediction tools for the personalized management of soft-tissue sarcomas of the extremity

Prediction tools are instruments which are commonly used to estimate the prognosis in oncology and facilitate clinical decision-making in a more personalized manner. Their popularity is shown by the increasing numbers of prediction tools, which have been described in the medical literature. Many of...

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Detalles Bibliográficos
Autores principales: Acem, Ibtissam, van de Sande, Michiel A. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Editorial Society of Bone & Joint Surgery 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987162/
https://www.ncbi.nlm.nih.gov/pubmed/36047022
http://dx.doi.org/10.1302/0301-620X.104B9.BJJ-2022-0647
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author Acem, Ibtissam
van de Sande, Michiel A. J.
author_facet Acem, Ibtissam
van de Sande, Michiel A. J.
author_sort Acem, Ibtissam
collection PubMed
description Prediction tools are instruments which are commonly used to estimate the prognosis in oncology and facilitate clinical decision-making in a more personalized manner. Their popularity is shown by the increasing numbers of prediction tools, which have been described in the medical literature. Many of these tools have been shown to be useful in the field of soft-tissue sarcoma of the extremities (eSTS). In this annotation, we aim to provide an overview of the available prediction tools for eSTS, provide an approach for clinicians to evaluate the performance and usefulness of the available tools for their own patients, and discuss their possible applications in the management of patients with an eSTS. Cite this article: Bone Joint J 2022;104-B(9):1011–1016.
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spelling pubmed-99871622023-03-07 Prediction tools for the personalized management of soft-tissue sarcomas of the extremity Acem, Ibtissam van de Sande, Michiel A. J. Bone Joint J Annotation Prediction tools are instruments which are commonly used to estimate the prognosis in oncology and facilitate clinical decision-making in a more personalized manner. Their popularity is shown by the increasing numbers of prediction tools, which have been described in the medical literature. Many of these tools have been shown to be useful in the field of soft-tissue sarcoma of the extremities (eSTS). In this annotation, we aim to provide an overview of the available prediction tools for eSTS, provide an approach for clinicians to evaluate the performance and usefulness of the available tools for their own patients, and discuss their possible applications in the management of patients with an eSTS. Cite this article: Bone Joint J 2022;104-B(9):1011–1016. The British Editorial Society of Bone & Joint Surgery 2022-09 2022-09-01 /pmc/articles/PMC9987162/ /pubmed/36047022 http://dx.doi.org/10.1302/0301-620X.104B9.BJJ-2022-0647 Text en © 2022 Authors et al. https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attributions (CC BY 4.0) licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original author and source are credited.
spellingShingle Annotation
Acem, Ibtissam
van de Sande, Michiel A. J.
Prediction tools for the personalized management of soft-tissue sarcomas of the extremity
title Prediction tools for the personalized management of soft-tissue sarcomas of the extremity
title_full Prediction tools for the personalized management of soft-tissue sarcomas of the extremity
title_fullStr Prediction tools for the personalized management of soft-tissue sarcomas of the extremity
title_full_unstemmed Prediction tools for the personalized management of soft-tissue sarcomas of the extremity
title_short Prediction tools for the personalized management of soft-tissue sarcomas of the extremity
title_sort prediction tools for the personalized management of soft-tissue sarcomas of the extremity
topic Annotation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987162/
https://www.ncbi.nlm.nih.gov/pubmed/36047022
http://dx.doi.org/10.1302/0301-620X.104B9.BJJ-2022-0647
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