One-year urinary and sexual outcome trajectories among prostate cancer patients treated by radical prostatectomy: a prospective study
Bibliographic record
Abstract
BACKGROUND: To examine one-year trajectories of urinary and sexual outcomes, and correlates of these trajectories, among prostate cancer patients treated by radical prostatectomy (RP). METHODS: Study participants were recruited from 2011 to 2014 at two US institutions. Self-reported urinary and sexual outcomes were measured at baseline before surgery, and 5 weeks, 6 months and 12 months after surgery, using the modified Expanded Prostate Cancer Index Composite-50 (EPIC-50). Changes in EPIC-50 scores from baseline were categorized as improved (beyond baseline), maintained, or impaired (below baseline), using previously-reported minimum clinically important differences. RESULTS: Of the 426 eligible participants who completed the baseline survey, 395 provided data on at least one EPIC-50 sub-scale at 5 weeks and 12 months, and were analyzed. Although all mean EPIC-50 scores declined markedly 5 weeks after surgery and then recovered to near (incontinence-related outcomes) or below (sexual outcomes) baseline levels by 12 months post-surgery, some men experienced improvement beyond their baseline levels on each sub-scale (3.3-51% depending on the sub-scale). Having benign prostatic hyperplasia (BPH) at baseline (prostate size ≥ 40 g; an International Prostate Symptom Index Score ≥ 8; or using BPH medications) was associated with post-surgical improvements in voiding dysfunction-related bother at 5 weeks (OR = 3.9, 95% CI: 2.1-7.2) and 12 months (OR = 3.3, 95% CI: 2.0-5.7); and in sexual bother at 5 weeks (OR = 5.7, 95% CI:1.7-19.3) and 12 months (OR = 3.0, 95% CI: 1.2-7.1). CONCLUSIONS: Our findings provide additional support for considering baseline BPH symptoms when selecting the best therapy for early-stage prostate cancer.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".