ArticleMolecular and clinical oncology2018
High preoperative Glasgow prognostic score is a negative prognostic factor for patients with endometrial carcinoma.
Article in Molecular and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A high Glasgow prognostic score (GPS) or modified Glasgow prognostic score (mGPS) predicts poor prognosis in gynecologic cancers: a systematic review and meta-analysis.Archives of gynecology and obstetrics · 2020Pooled it
- Predicting Postoperative Events in Patients With Gastric Cancer: A Comparison of Five Nutrition Assessment Tools.In vivo (Athens, Greece)Article
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11 authors.
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Abstract
The aim of the present study was to determine the prognostic value of the Glasgow prognostic score (GPS) in endometrial carcinoma (EC). Patients with EC who underwent surgery at the Shimane University Hospital between January 1997 and December 2013 were enrolled (n=118). The associations between pretreatment GPS and clinical parameters, including age, histological type, International Federation of Gynecology and Obstetrics stage, tumor grade, carbohydrate antigen 19-9 and carcinoembryonic antigen levels, progression-free survival (PFS), and overall survival (OS), were investigated. Survival analysis was performed with the Kaplan-Meier method, and prognostic factors were evaluated with Cox's proportional hazards regression model. A high pretreatment GPS was associated with advanced clinical stage, histological type and tumor grade (P<0.001, P=0.007 and P=0.006, respectively). Multivariate analysis identified a high GPS as an independent negative prognostic factor for PFS and OS (P=0.025 and P=0.044, respectively). Therefore, a high pretreatment GPS has prognostic value and the potential to be a predictive marker for surgical outcome in patients with EC. Evaluation of pretreatment GPS may aid in the identification of high-risk populations, which may improve treatment selection and patient outcomes.
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