Quality of Life of Nasopharyngeal Cancer Survivors in China
Bibliographic record
Abstract
PURPOSE: We assessed the quality of life (qol) of nasopharyngeal carcinoma (npc) survivors with a survival time of more than 2 years in Fujian, China, and we analyzed factors influencing qol. METHODS: We calculated the prevalence of psychological distress and radiotherapy (rt)-induced symptoms in 216 npc survivors who participated in a cross-sectional survey. The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (version 3.0) was used to assess the qol of npc survivors. Multiple linear regression was applied to analyze the factors influencing qol. RESULTS: The prevalence rates of rt-induced symptoms and psychological problems were 11.58% (95% ci: 7.21% to 15.58%) for difficulty in swallowing, 17.59% (95% ci: 12.51% to 22.67%) for mouth dryness or sores, 13.89% (95% ci: 9.28% to 18.50%) for nasal dryness or congestion, 18.52% (95% ci: 13.34% to 23.70%) for fatigue, 11.11% (95% ci: 6.92% to 15.30%) for frequent dizziness, 18.06% (95% ci: 12.93% to 23.19%) for decline in hearing, 14.81% (95% ci: 10.07% to 19.55%) for poor sleep quality, 18.52% (95% ci: 13.34% to 23.70%) for worry about disease recurrence, 18.98% (95% ci: 13.75% to 24.21%) for anxiety, and 25.00% (95% ci: 19.23% to 30.77%) for depression. Mean survival times were 4.32 ± 2.63 years in patients with mouth dryness or sores, 4.26 ± 2.90 years in patients with fatigue, and 5.60 ± 2.94 years in patients with a decline in hearing. The mean global qol score was 74.21 (95% ci: 72.22 to 76.20). At a significance level of α = 0.05, the factors influencing qol were age (p = 0.032), education level (p = 0.001), anxiety score (p < 0.001), depression score (p < 0.001), mouth dryness or sores (p < 0.001), fatigue (p = 0.027), and disease stage (p = 0.044). CONCLUSIONS: The prevalence rates of mouth dryness or sores, fatigue, decline in hearing, depression, and anxiety were high in npc survivors with a survival time of more than 2 years. These rt-induced symptoms and psychological problems can last for many years after rt. The qol of the npc survivors was good. Factors influencing qol were age, education level, anxiety, depression, mouth dryness or sores, fatigue, and disease stage. Our results suggest that during clinical treatment, doctors should minimize the radiation dose to the ears of patients. In addition, our results emphasize the importance of providing oral and ear nursing and psychological care to npc survivors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".