Related Experiment Video
Updated: Feb 25, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Modified Glasgow Prognostic Score at Recurrence Predicts Poor Survival in Resected Non-Small Cell Lung Cancer (NSCLC)
Yongbin Lv1, Yinghua Pan1, Changxia Dong2
1Department of Radiology, Yantai Yuhuangding Hospital, Yantai, Shandong, China (mainland).
Abstract:
BACKGROUND The purpose of this study was to investigate the impact of the modified Glasgow Prognostic Score (GPS) at the time of recurrence on post-recurrence survival (PRS) in non-small cell lung cancer (NSCLC) patients after surgical resection. MATERIAL AND METHODS The clinicopathologic characteristics and outcome data of 266 patients with recurrent NSCLC were collected and reviewed retrospectively. The prognostic impact of mGPS at recurrence in patients with recurrent NSCLC was investigated in univariate and multivariate analyses. RESULTS A total of 266 patients were analyzed. The mGPS at the time of recurrence of 0, 1, and 2 was assigned to 60.9%, 33.1%, and 6.0% of total patients, respectively. In univariate analyses, the median post-recurrence survival times for those with mGPS 0, 1, and 2 were 19, 14, and 4 months, respectively (log-rank test; P=0.005). No statistically significant difference in post-recurrence survival was observed among the patients with different mGPS before surgery (log-rank test; P=0.064). Age at surgery, histological type, C-reactive protein (CRP), albumin, and mGPS at recurrence significantly predicted PRS. After adjusting for confounding variables in the model, age (hazard ratio 1.59, P=0.003) as well as disease-free interval (DFI) (hazard ratio 1.40, P=0.023), and mGPS at recurrence (hazard ratio 1.47, P=0.002) remained independent predictors of PRS. CONCLUSIONS mGPS at the time of recurrence might be an independent adverse prognostic factor in recurrent NSCLC.
More Related Videos
04:46Glioblastoma Relapse Post-Resection Model for Therapeutic Hydrogel Investigations
Published on: February 24, 2023
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025