1. Survival outcome and prognostic factors of patients with nasopharyngeal cancer in Yogyakarta, Indonesia: A hospital-based retrospective study
- Author
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Sri Retna Dwidanarti, Mardiah Suci Hardianti, Susanna Hilda Hutajulu, Sagung Rai Indrasari, I. Bing Tan, Johan Kurnianda, Ahmad Ghozali, Camelia Herdini, Wigati Dhamiyati, Ibnu Purwanto, H. Kusumo, Kartika Widayati Taroeno-Hariadi, Daniel Howdon, Matthew J Allsop, Bambang Hariwiyanto, RS: GROW - R2 - Basic and Translational Cancer Biology, MUMC+: MA Keel Neus Oorheelkunde (9), and KNO
- Subjects
Male ,Oncology ,Cancer Treatment ,Kaplan-Meier Estimate ,Geographical Locations ,Cohort Studies ,CARCINOMA PATIENTS ,ADJUVANT CHEMOTHERAPY ,Antineoplastic Combined Chemotherapy Protocols ,Medicine and Health Sciences ,Medicine ,EPIDEMIOLOGY ,Nasopharyngeal Carcinoma ,Multidisciplinary ,Pharmaceutics ,Hazard ratio ,Combination chemotherapy ,Chemoradiotherapy ,Induction Chemotherapy ,Middle Aged ,Prognosis ,Hospitals ,Treatment Outcome ,Cohort ,Engineering and Technology ,Female ,Management Engineering ,Research Article ,RADIOTHERAPY ,Clinical Oncology ,Adult ,Prognostic variable ,medicine.medical_specialty ,Asia ,Science ,Oceania ,Radiation Therapy ,Cancer Chemotherapy ,Insurance ,Drug Therapy ,Internal medicine ,Chemotherapy ,Humans ,Survival analysis ,Aged ,Proportional Hazards Models ,Retrospective Studies ,Risk Management ,business.industry ,Proportional hazards model ,Carcinoma ,Cancers and Neoplasms ,Induction chemotherapy ,Nasopharyngeal Neoplasms ,Retrospective cohort study ,Survival Analysis ,Socioeconomic Factors ,Indonesia ,People and Places ,Clinical Medicine ,Cisplatin ,business ,Combination Chemotherapy - Abstract
PurposeThis study aimed to determine the survival outcome and prognostic factors of patients with nasopharyngeal cancer accessing treatment in Yogyakarta, Indonesia.MethodsData on 759 patients with NPC diagnosed from 2007 to 2016 at Dr Sardjito General Hospital were included. Potential prognostic variables included sociodemographic, clinicopathology and treatment parameters. Multivariable analyses were implemented using semi-parametric Cox proportional hazards modelling and fully parametric survival analysis.ResultsThe median time of observation was 14.39 months. In the whole cohort the median observed survival was 31.08 months. In the univariable analysis, age, education status, insurance type, BMI, ECOG index, stage and treatment strategy had an impact on overall survival (OS) (p values ConclusionsMedian OS for the cohort was low compared to those reported in both endemic and non-endemic regions. By combining the findings of multivariable analyses, we showed that age, education status, ECOG index, stage and first treatment modality were independent predictors for the OS.
- Published
- 2021