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Prediction of survival benefit when deciding between chemotherapy and best supportive therapy in elderly patients with advanced gastric cancer: A retrospective cohort study
- Source :
- Molecular and Clinical Oncology
- Publication Year :
- 2018
- Publisher :
- D.A. Spandidos, 2018.
-
Abstract
- It remains unclear whether elderly patients (EPs) with advanced gastric cancer (AGC) benefit from chemotherapy. The aim of the present study was to examine the prognostic factors for EPs with AGC in order to generate a prognosis-predicting scoring system. This single-center retrospective study examined consecutive patients with AGC between April 2012 and July 2017. Risk factors for survival in EPs aged ≥75 years were identified using a Cox proportional hazards model, and a prognostic scoring system was generated and retrospectively evaluated to determine its usefulness for predicting patient prognosis. A total of 61 patients were enrolled as EPs (mean age, 81 years) and compared with 80 non-EPs (mean age, 66 years). The median survival time (MST) was significantly longer for non-EPs compared with that for EPs (3.8 vs. 10.1 months, respectively; P=0.0447). Among the EPs, 29 (48%) received chemotherapy and 32 received best supportive care (BSC). A total of 68 non-EPs (85%) received chemotherapy and 12 non-EPs received BSC. Among EPs with AGC, age-adjusted multivariate analysis revealed that performance status (PS), neutrophil/lymphocyte ratio (NLR)
- Subjects :
- 0301 basic medicine
Cancer Research
medicine.medical_specialty
Multivariate analysis
medicine.medical_treatment
elderly patients
chemotherapy
03 medical and health sciences
best supportive care
0302 clinical medicine
Internal medicine
medicine
prognostic factor
advanced gastric cancer
Chemotherapy
Performance status
Proportional hazards model
business.industry
Cancer
Retrospective cohort study
Articles
Advanced gastric cancer
medicine.disease
030104 developmental biology
Oncology
Supportive psychotherapy
030220 oncology & carcinogenesis
business
Subjects
Details
- Language :
- English
- ISSN :
- 20499469 and 20499450
- Volume :
- 10
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Molecular and Clinical Oncology
- Accession number :
- edsair.doi.dedup.....4c9749f6146f8efef1e34bd3d541fd9b