| Literature DB >> 29184710 |
Mirza Pojskic1, Miriam H A Bopp1, Markus Schymalla2, Christopher Nimsky1, Barbara Carl1.
Abstract
BACKGROUND: Metastases are the most frequent tumors in the brain. Most often used scoring systems to predict the outcome are the RPA (Recursive Partitioning Analysis) classification and the DS-GPA (Diagnosis-Specific Graded Prognostic Assessment) score. The goal of our study was to determine prognostic factors which influence outcome in patients who undergo surgery for brain metastases and to compare different outcome scores.Entities:
Keywords: Brain metastasis; Diagnosis-Specific Graded Prognostic Assessment; Recursive Partitioning Analysis
Year: 2017 PMID: 29184710 PMCID: PMC5680662 DOI: 10.4103/sni.sni_228_17
Source DB: PubMed Journal: Surg Neurol Int ISSN: 2152-7806
Patient characteristics
Figure 1Kaplan–Meier curve with median survival time (MST) for the whole group
Figure 2Kaplan–Meier curves with median survival time (MST) for single and multiple metastases
Figure 3Kaplan–Meier curves for age
Figure 4Kaplan–Meier curves for sex
Figure 5Kaplan–Meier curves for postoperative KSP Score
Figure 6Kaplan–Meier curves for postoperative RPA Classes
Figure 7Kaplan–Meier curves for the postoperative DS-GPA Score
Figure 8Kaplan–Meier curve for the postoperative radiotherapy
Overview of studies which evaluated relevant prognostic factors in patients with surgically treated brain metastases with comparison of study design, number of patients, number of metastasis, median age, sex, preoperative performance status, MST, primary tumor, adjuvant radiotherapy, type and duration of follow up, use of any prognostic scores or RPA/DS-GPA Classification with overview of prognostic factors relevant for survival
Overview of the studies on surgically treated brain metastases with comparison of neurological outcome and complication rate