Prognostic factors to predict postoperative survival in patients with recurrent glioblastoma

There are no generally accepted criteria for selecting patients with recurrent glioblastoma for surgery. This retrospective study in a Danish population-based cohort aimed to identify prognostic factors affecting postoperative survival after repeated surgery for recurrent glioblastoma and to test if the preoperative New Scale for Recurrent Glioblastoma Surgery (NSGS) developed by Park CK et al could assist in the selection of patients for repeat glioblastoma surgery. Clinical data from 66 patients with recurrent glioblastoma and repeated surgery were analyzed. Kaplan–Meier plots were produced to illustrate survival in each of the three NSGS prognostic groups, and Cox proportional hazard regression was used to identify prognostic variables. Multivariable analysis was used to identify differences in survival in the three prognostic groups. Six variables significantly affected postoperative survival: preoperative Karnofsky Performance Status (KPS)