Health related quality of life of oral cancer patients who receive radiotherapy with or without chemotherapy in a tertiary referral centre in Sri Lanka- A prospective study
Kosgallana, S.; Jayasekara, P.; Abeysinghe, P.; Lalloo, R.
Show abstract
PurposeTo assess the health-related quality of life (HRQOL) of oral cancer patients who receive radiotherapy (RT) with or without chemotherapy and the changes in HRQOL. Patients and MethodsA prospective study was conducted among oral cancer patients who receive RT with or without chemotherapy. Two European Organization for the Research and Treatment of Cancer Quality of Life Questionnaires: EORTC QLQ-C30 and EORTC QLQ-H&N35, were used to assess HRQOL before RT, during the last week of RT and three months after RT. High scores of symptom domains and items indicate low HRQOL and wise versa for functional and Global health status domains. ResultsNinety oral cancer patients were included. The majority of the sample were males (88%) and 68% were aged 50-69. The median scores of all the domains and items in EORTC QLQ-H&N35 and symptom domains and items in EORTC QLQ-C30 were higher during the last week of RT compared to the baseline. The functional domains of EORTC QLQ-C30 showed the highest median values (100.0) at baseline but much less values (<66.7) during last week of RT. Except for Appetite loss item, all the symptom domains and items scores were lower at three months after RT than the median scores during last week of RT. Statistically significant differences were observed in almost all the changes in HRQOL between three-time frames (p<0.05). ConclusionsHRQOL of oral cancer patients declined due to RT from baseline to the last week of RT and improved three months after RT from last week of RT but had not returned to the baseline level.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- What are the impacts of oral complications from cancer therapy on the quality of life of children? A protocol to update a scoping review 96%
- Burnout: A Predictor Of Oral Health Impact Profile Among Nigerian Early Career Doctors 95%
- Optimizing costs and sustainability for Gamma Knife Radiosurgery: A cost and breakeven analysis at India’s largest Neurosurgery Centre 94%
Similar papers in this journal
- The Impact of Fasting the Holy Month of Ramadan on Colorectal Cancer Patients and Two Tumor Biomarkers: A Tertiary-Care Hospital Experience 94%
- A Novel Maxillofacial Technology for Drug Administration-A Randomized Controlled Trial Using Metronidazole. 93%
- Validation of the patient reported outcome measures tool “Catquest” in Odia language 93%
Similar papers in this journal
- Absence of Glutathione S-Transferase Theta 1 Gene is Significantly Associated with Breast Cancer Susceptibility in Pakistani Population and Poor Overall Survival in Breast Cancer Patients: A Case-Control and Case Series Analysis 92%
- A pro-oxidant combination of resveratrol and copper down-regulates hallmarks of cancer and immune checkpoints in patients with advanced oral cancer: Results of an exploratory study (RESCU 004) 91%
- Factors affecting COVID-19 outcomes in cancer patients - A first report from Guys Cancer Centre in London 91%
Similar papers in this journal
- Quality of life and patient-reported outcomes following proton therapy for oropharyngeal carcinoma: a systematic review 94%
- Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach 91%
- Exploring Patient Centered Perspectives on Suicidal Ideation: A Mixed Methods Investigation in Gastrointestinal Cancer Care 91%
Similar papers in this journal
- Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learning 92%
- Prediction and analysis of skin cancer progression using genomics profiles of patients 91%
- Effects of different environmental intervention durations on the intestinal mucosal barrier and the brain-gut axis in rats with colorectal cancer 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.