| Literature DB >> 29879023 |
Yinqing Wang1, Ranze Cai, Rui Wang, Chunhua Wang, Chunmei Chen.
Abstract
This is a retrospective study.The aim of this study was to illustrate the survival outcomes of patients with classic ependymoma (CE) and identify potential prognostic factors.CE is the most common category of spinal ependymomas, but few published studies have discussed predictors of the survival outcome.A Boolean search of the PubMed, Embase, and OVID databases was conducted by 2 investigators independently. The objects were intramedullary grade II ependymoma according to 2007 WHO classification. Univariate Kaplan-Meier analysis and Log-Rank tests were performed to identify variables associated with progression-free survival (PFS) or overall survival (OS). Multivariate Cox regression was performed to assess hazard ratios (HRs) with 95% confidence intervals (95% CIs). Statistical analysis was performed by SPSS version 23.0 (IBM Corp.) with statistical significance defined as P < .05.A total of 35 studies were identified, including 169 cases of CE. The mean follow-up time across cases was 64.2 ± 51.5 months. Univariate analysis showed that patients who had undergone total resection (TR) had better PFS and OS than those with subtotal resection (STR) and biopsy (P = .002, P = .004, respectively). Within either univariate or multivariate analysis (P = .000, P = .07, respectively), histological type was an independent prognostic factor for PFS of CE [papillary type: HR 0.002, 95% CI (0.000-0.073), P = .001, tanycytic type: HR 0.010, 95% CI (0.000-0.218), P = .003].It was the first integrative analysis of CE to elucidate the correlation between kinds of factors and prognostic outcomes. Definite histological type and safely TR were foundation of CE's management. LEVEL OF EVIDENCE: 4.Entities:
Mesh:
Year: 2018 PMID: 29879023 PMCID: PMC5999504 DOI: 10.1097/MD.0000000000010870
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Figure 1Flow chart of inclusion and exclusion.
Characteristics of classical ependymoma patients.
K-M and Cox regression analysis of PFS in classical ependymoma patients.
Figure 2Univariate analysis of PFS stratified by extent of surgery.
Figure 3Univariate analysis of PFS stratified by adjuvant therapy.
Figure 4Multivariate analysis of PFS stratified by histological subtype.
K-M and Cox regression analysis of OS in classical ependymoma patients.
Figure 5Univariate analysis of OS stratified by adjuvant therapy.
Figure 6Univariate analysis of OS stratified by extent of surgery.