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Utility of a prognostic assessment tool to predict survival following surgery for brain metastases
BACKGROUND: Brain metastases account for more than 50% of all intracranial tumors and are associated with poor outcomes. Treatment decisions in this highly heterogenous cohort remain controversial due to the myriad of treatment options available, and there is no clearly defined standard of care. The...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666803/ https://www.ncbi.nlm.nih.gov/pubmed/38026583 http://dx.doi.org/10.1093/nop/npad047 |
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author | Cuthbert, Hadleigh Riley, Max Bhatt, Shreya Au-Yeung, Claudia Kate Arshad, Ayesha Eladawi, Sondos Zisakis, Athanasios Tsermoulas, Georgios Watts, Colin Wykes, Victoria |
author_facet | Cuthbert, Hadleigh Riley, Max Bhatt, Shreya Au-Yeung, Claudia Kate Arshad, Ayesha Eladawi, Sondos Zisakis, Athanasios Tsermoulas, Georgios Watts, Colin Wykes, Victoria |
author_sort | Cuthbert, Hadleigh |
collection | PubMed |
description | BACKGROUND: Brain metastases account for more than 50% of all intracranial tumors and are associated with poor outcomes. Treatment decisions in this highly heterogenous cohort remain controversial due to the myriad of treatment options available, and there is no clearly defined standard of care. The prognosis in brain metastasis patients varies widely with tumor type, extracranial disease burden and patient performance status. Decision-making regarding treatment is, therefore, tailored to each patient and their disease. METHODS: This is a retrospective cohort study assessing survival outcomes following surgery for brain metastases over a 50-month period (April 1, 2014–June 30, 2018). We compared predicted survival using the diagnosis-specific Graded Prognostic Assessment (ds-GPA) with actual survival. RESULTS: A total of 186 patients were included in our cohort. Regression analysis demonstrated no significant correlation between actual and predicted outcome. The most common reason for exclusion was insufficient information being available to the neuro-oncology multidisciplinary team (MDT) meeting to allow GPA calculation. CONCLUSIONS: In this study, we demonstrate that “predicted survival” using the ds-GPA does not correlate with “actual survival” in our operated patient cohort. We also identify a shortcoming in the amount of information available at MDT in order to implement the GPA appropriately. Patient selection for aggressive therapies is crucial, and this study emphasizes the need for treatment decisions to be individualized based on patient and cancer clinical characteristics. |
format | Online Article Text |
id | pubmed-10666803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106668032023-08-07 Utility of a prognostic assessment tool to predict survival following surgery for brain metastases Cuthbert, Hadleigh Riley, Max Bhatt, Shreya Au-Yeung, Claudia Kate Arshad, Ayesha Eladawi, Sondos Zisakis, Athanasios Tsermoulas, Georgios Watts, Colin Wykes, Victoria Neurooncol Pract Original Articles BACKGROUND: Brain metastases account for more than 50% of all intracranial tumors and are associated with poor outcomes. Treatment decisions in this highly heterogenous cohort remain controversial due to the myriad of treatment options available, and there is no clearly defined standard of care. The prognosis in brain metastasis patients varies widely with tumor type, extracranial disease burden and patient performance status. Decision-making regarding treatment is, therefore, tailored to each patient and their disease. METHODS: This is a retrospective cohort study assessing survival outcomes following surgery for brain metastases over a 50-month period (April 1, 2014–June 30, 2018). We compared predicted survival using the diagnosis-specific Graded Prognostic Assessment (ds-GPA) with actual survival. RESULTS: A total of 186 patients were included in our cohort. Regression analysis demonstrated no significant correlation between actual and predicted outcome. The most common reason for exclusion was insufficient information being available to the neuro-oncology multidisciplinary team (MDT) meeting to allow GPA calculation. CONCLUSIONS: In this study, we demonstrate that “predicted survival” using the ds-GPA does not correlate with “actual survival” in our operated patient cohort. We also identify a shortcoming in the amount of information available at MDT in order to implement the GPA appropriately. Patient selection for aggressive therapies is crucial, and this study emphasizes the need for treatment decisions to be individualized based on patient and cancer clinical characteristics. Oxford University Press 2023-08-07 /pmc/articles/PMC10666803/ /pubmed/38026583 http://dx.doi.org/10.1093/nop/npad047 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Neuro-Oncology and the European Association of Neuro-Oncology. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Cuthbert, Hadleigh Riley, Max Bhatt, Shreya Au-Yeung, Claudia Kate Arshad, Ayesha Eladawi, Sondos Zisakis, Athanasios Tsermoulas, Georgios Watts, Colin Wykes, Victoria Utility of a prognostic assessment tool to predict survival following surgery for brain metastases |
title | Utility of a prognostic assessment tool to predict survival following surgery for brain metastases |
title_full | Utility of a prognostic assessment tool to predict survival following surgery for brain metastases |
title_fullStr | Utility of a prognostic assessment tool to predict survival following surgery for brain metastases |
title_full_unstemmed | Utility of a prognostic assessment tool to predict survival following surgery for brain metastases |
title_short | Utility of a prognostic assessment tool to predict survival following surgery for brain metastases |
title_sort | utility of a prognostic assessment tool to predict survival following surgery for brain metastases |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666803/ https://www.ncbi.nlm.nih.gov/pubmed/38026583 http://dx.doi.org/10.1093/nop/npad047 |
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