دورية أكاديمية
أعرض في EDS

Relevance of the Updated Recursive Partitioning Analysis (U-RPA) Classification in the Contemporary Care of Patients with Brain Metastases.

التفاصيل البيبلوغرافية
العنوان: Relevance of the Updated Recursive Partitioning Analysis (U-RPA) Classification in the Contemporary Care of Patients with Brain Metastases.
المؤلفون: Fadul CE; Division of Neuro-Oncology, Department of Neurology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA., Sarai G; Division of Neuro-Oncology, Department of Neurology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA., Bovi JA; Department of Radiation Oncology, The Medical College of Wisconsin, Milwaukee, WI 53222, USA., Thomas AA; Department of Neurological Sciences, University of Vermont Larner College of Medicine, Burlington, VT 05405, USA., Novicoff W; Department of Public Health Sciences and Orthopedic Surgery, University of Virginia School of Medicine, Charlottesville, VA 22908, USA., Anderson R; Population Sciences, University of Virginia School of Medicine, Charlottesville, VA 22908, USA., Amidon RF; Department of Radiation Oncology, The Medical College of Wisconsin, Milwaukee, WI 53222, USA., Schuetz S; Department of Neurological Sciences, University of Vermont Larner College of Medicine, Burlington, VT 05405, USA., Singh R; Division of Hematology and Oncology, University of Vermont Larner College of Medicine, Burlington, VT 05405, USA., Chang A; Department of Neurological Sciences, University of Vermont Larner College of Medicine, Burlington, VT 05405, USA., Gentzler RD; Division of Hematology and Oncology, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA 22908, USA., Gaughan EM; Division of Hematology and Oncology, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA 22908, USA., Sheehan JP; Department of Neurological Surgery, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
المصدر: Cancers [Cancers (Basel)] 2023 Jun 20; Vol. 15 (12). Date of Electronic Publication: 2023 Jun 20.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101526829 Publication Model: Electronic Cited Medium: Print ISSN: 2072-6694 (Print) Linking ISSN: 20726694 NLM ISO Abbreviation: Cancers (Basel) Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Basel, Switzerland : MDPI
مستخلص: Patients with brain metastases (BMETS) need information about the prognosis and potential value of treatment options to make informed therapeutic decisions, but tools to predict survival in contemporary practice are scarce. We propose an Updated Recursive Partitioning Analysis (U-RPA) instrument to predict survival and benefit from brain-directed treatment (BDT) of contemporary patients. This was a retrospective analysis of patients with BMETS treated between 2017 and 2019. With survival as the primary endpoint, we calculated the U-RPA and generated estimates using Kaplan-Meier curves and hazard ratios. Of 862 eligible patients, 752 received BDT and 110 received best supportive care (BSC). Median overall survival with BDT and BSC was 9.3 and 1.3 months, respectively. Patients in RPA class 1, 2A, 2B and 3 who underwent BDT had median survival of 28.1, 14.7, 7.6 and 3.3 months, respectively. The median survival for patients in RPA 3 who received BDT ( n = 147), WBRT ( n = 79) and SRS ( n = 54) was 3.3, 2.9 and 4.1 months, respectively. The U-RPA defines prognosis estimates, independent of tumor type and treatment modality, which can assist to make value-based care treatment decisions. The prognosis for patients in U-RPA class 2B and 3 remains poor, with consideration for early palliative care involvement in these cases.
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فهرسة مساهمة: Keywords: Karnofsky performance status; brain metastases; brain-directed treatment; prognosis; recursive partitioning analysis; stereotactic radiosurgery; whole brain radiation therapy
تواريخ الأحداث: Date Created: 20230628 Latest Revision: 20230701
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC10297002
DOI: 10.3390/cancers15123255
PMID: 37370865
قاعدة البيانات: MEDLINE
الوصف
تدمد:2072-6694
DOI:10.3390/cancers15123255