Population‐based patient‐reported quality of life outcomes following low‐dose‐rate versus high‐dose‐rate brachytherapy monotherapy for low‐intermediate risk prostate cancer
Bibliographic record
Abstract
INTRODUCTION: To evaluate patient reported quality of life outcomes (QoL) following low-dose-rate brachytherapy (LDR-BT) and high-dose-rate brachytherapy (HDR-BT) monotherapy for prostate cancer at a population-based setting. METHODS: The study comprised men with low-intermediate risk prostate cancer in the Prostate Cancer Outcomes Registry Victoria (PCOR-Vic), who were treated with LDR-BT or HDR-BT monotherapy between 2015 and 2020 and completed the Expanded Prostate Cancer Index Composite (EPIC-26) questionnaire 12-month post-treatment. Men who had ADT were excluded (n = 12). Differences in substantial symptoms (i.e. 'moderate' or 'big' problem on a 5-point Likert scale) between LDR-BT and HDR-BT arms were evaluated using Pearson's chi-squared test. Multivariable linear regressions were used to estimate differences in EPIC-26 urinary, bowel and sexual functional domain scores between LDR-BT and HDR-BT arms. RESULTS: Overall, 198 men were included in this study, of which 167 (84%) had LDR-BT and 31 (16%) had HDR-BT. 9 (4.6%), 10 (5.1%) and 56 (28%) reported substantial symptoms for overall urinary, bowel and sexual function at 12-month post-treatment, with no significant difference between LDR-BT and HDR-BT arms. The adjusted mean differences in urinary incontinence, urinary obstructive, bowel and sexual function domain scores between LDR-BT and HDT-BT were: -3.53 (-8.21 to 1.14), -1.27 (-6.88 to 4.35), -0.01 (-5.63 to 5.63) and -8.68 (-21.44 to 4.07) respectively - these were not statistically significant and did not meet the minimal clinically important difference. CONCLUSION: This is the first Australian population-based study comparing QoL in men who had LDR-BT and HDR-BT, with no statistically or clinically significant differences in QoL observed at 12-month post-treatment.
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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 | 0.002 | 0.002 |
| 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".