Impact of Radiotherapy When Added to Androgen-Deprivation Therapy for Locally Advanced Prostate Cancer: Long-Term Quality-of-Life Outcomes From the NCIC CTG PR3/MRC PR07 Randomized Trial
Bibliographic record
Abstract
PURPOSE: The NCIC CTG PR3/MRC PR07 randomized phase III trial compared androgen-deprivation therapy (ADT) alone versus ADT with radiotherapy (RT) for patients with locally advanced prostate cancer. This article reports the health-related quality-of-life (HRQOL) outcomes of this trial. PATIENTS AND METHODS: A total of 1,205 patients were randomly allocated to either ADT alone or ADT with RT. HRQOL was assessed at baseline and every 6 months thereafter using the European Organisation for Research and Treatment of Cancer Core Questionnaire and a prostate cancer-specific checklist or the Functional Assessment of Cancer Therapy-Prostate questionnaire. Mean changes from baseline scores for five function domains and nine symptom domains were analyzed as those most relevant to ADT and RT. The proportions of patients with improved, stable, or worsened HRQOL scores according to instrument-specific minimal important differences were calculated. RESULTS: Baseline questionnaires were completed by 1,028 patients (88%). At 6 months, RT had a statistically significant impact on mean score for bowel symptoms (P = .02), diarrhea (P < .001), urinary function (P = .003), and erectile dysfunction (P = .008); by 3 years, however, there were no significant between-group differences in any domain. Generalized linear mixed modeling revealed no significant between-arm differences in any of the function scales but showed significant deterioration in both arms over time for Functional Assessment of Cancer Therapy-Prostate total score, treatment outcome index, and physical and functional well-being. CONCLUSION: The addition of RT to ADT for patients with locally advanced prostate cancer significantly improved overall survival and had only modest and transient negative impact on relevant domains of HRQOL.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".