Impact of Surgical Approach on Patient-Reported Outcomes after Radical Prostatectomy: A Propensity Score-Weighted Analysis from a Multicenter, Prospective, Observational Study (The Pros-IT CNR Study)
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Bibliographic record
Abstract
BACKGROUND: To report health-related quality of life outcomes as assessed by validated patient-reported outcome measures (PROMs) after radical prostatectomy (RP). -Methods: This study analyzed patients treated with RP within The PROState cancer monitoring in Italy, from the National Research Council (Pros-IT CNR). Italian versions of Short-Form Heath Survey and university of California los Angeles-prostate cancer index questionnaires were administered. PROMs were physical composite scores, mental composite scores and urinary, bowel, sexual functions and bothers (UF/B, BF/B, SF/B). Baseline unbalances were controlled with propensity scores and stabilized inverse weights; differences in PROMs between different RP approaches were estimated by mixed models. RESULTS: Of 541 patients treated with RP, 115 (21%) received open RP (ORP), 90 (17%) laparoscopic RP (LRP) and 336 (61%) robot-assisted RP (RARP). At head-to-head -comparisons, RARP showed higher 12-month UF vs. LRP (interaction treatment * time p = 0.03) and 6-month SF vs. ORP (p < 0.001). At 12-month from surgery, 67, 73 and 79% of patients used no pad for urinary loss in ORP, LRP and RARP respectively (no differences for each comparison). Conversely, 16, 27 and 40% of patients declared erections firm enough for sexual intercourse in ORP, LRP and RARP respectively (only significant difference for ORP vs. RARP, p = 0.0004). CONCLUSIONS: Different RP approaches lead to significant variations in urinary and sexual PROMs, with a general trend in favour of RARP. However, their clinical significance seems limited.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 it