Analysis of health related quality of life (HRQoL) of patients with clinically localized prostate cancer, one year after treatment with external beam radiotherapy (EBRT) alone versus EBRT and high dose rate brachytherapy (HDRBT)
Bibliographic record
Abstract
PURPOSE: Prostate cancer is the leading form of cancer diagnosed among North American men. Most patients present with localized disease, which can be effectively treated with a variety of different modalities. These are associated with widely different acute and late effects, which can be both physical and psychological in nature. HRQoL concerns are therefore important for these patients for selecting between the different treatment options. MATERIALS AND METHODS: One year after receiving radiotherapy for localised prostate cancer 117 patients with localized prostate cancer were invited to participate in a quality of life (QoL) self reported survey. 111 patients consented and participated in the survey, one year after completion of their treatment. 88 patients received EBRT and 23 received EBRT and HDRBT. QoL was compared in the two groups by using a modified version of Functional Assessment of Cancer Therapy-Prostate (FACT-P) survey instrument. RESULTS: One year after completion of treatment, there was no significant difference in overall QoL scores between the two groups of patients. For each component of the modified FACT-P survey, i.e. physical, social/family, emotional, and functional well-being; there were no statistically significant differences in the mean scores between the two groups. CONCLUSION: In prostate cancer patients treated with EBRT alone versus combined EBRT and HDRBT, there was no significant difference in the QoL scores at one year post-treatment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".