Hadleigh Cuthbert, Max Riley, Shreya Bhatt, Claudia Kate Au-Yeung, Ayesha Arshad, Sondos Eladawi, Athanasios Zisakis, Georgios Tsermoulas, Colin Watts, Victoria Wykes
{"title":"预测脑转移手术后生存的预后评估工具的应用","authors":"Hadleigh Cuthbert, Max Riley, Shreya Bhatt, Claudia Kate Au-Yeung, Ayesha Arshad, Sondos Eladawi, Athanasios Zisakis, Georgios Tsermoulas, Colin Watts, Victoria Wykes","doi":"10.1093/nop/npad047","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":19234,"journal":{"name":"Neuro-oncology practice","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666803/pdf/","citationCount":"0","resultStr":"{\"title\":\"Utility of a prognostic assessment tool to predict survival following surgery for brain metastases.\",\"authors\":\"Hadleigh Cuthbert, Max Riley, Shreya Bhatt, Claudia Kate Au-Yeung, Ayesha Arshad, Sondos Eladawi, Athanasios Zisakis, Georgios Tsermoulas, Colin Watts, Victoria Wykes\",\"doi\":\"10.1093/nop/npad047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":19234,\"journal\":{\"name\":\"Neuro-oncology practice\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666803/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuro-oncology practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/nop/npad047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/12/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuro-oncology practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/nop/npad047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/12/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
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 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.
期刊介绍:
Neuro-Oncology Practice focuses on the clinical aspects of the subspecialty for practicing clinicians and healthcare specialists from a variety of disciplines including physicians, nurses, physical/occupational therapists, neuropsychologists, and palliative care specialists, who have focused their careers on clinical patient care and who want to apply the latest treatment advances to their practice. These include: Applying new trial results to improve standards of patient care Translating scientific advances such as tumor molecular profiling and advanced imaging into clinical treatment decision making and personalized brain tumor therapies Raising awareness of basic, translational and clinical research in areas of symptom management, survivorship, neurocognitive function, end of life issues and caregiving