Active surveillance failure for prostate cancer: does the delay in treatment increase the risk of urinary incontinence?
Bibliographic record
Abstract
INTRODUCTION: Active surveillance for low risk prostate cancer has become an acceptable management strategy. However, a percentage of these patients in active surveillance move on to active treatment. Our aim was to examine urinary incontinence (UI) rates in men who move on to treatment from active surveillance and compare it to quoted rates in the literature. We examined the question that a potential delay in the treatment of prostate cancer in those on active surveillance may result in an increase in incontinence rates. MATERIALS AND METHODS: From July 1992 to June 2009, 443 men at our institution entered into active surveillance for newly diagnosed prostate cancer. We reviewed their medical records and data was abstracted from physician-reported medical records. The mean age of the entire group was 64.1 years old (range 40-80). Their mean prostate-specific antigen (PSA) was 7.65 (range 0.21-36) and their mean Gleason score was 6.2 (range 4-8). Of these patients on active surveillance, 150/443 (33.3%) went on to active treatment. Median time to active treatment was 31.5 months (range 3-180 months). Only 5 patients went onto active treatment less than 1 year after starting active surveillance. Of these patients who went onto active treatment, 85 had radiation alone, 48 had a radical prostatectomy (RP), 7 had a RP and radiation, 7 had HIFU alone, 2 had focal ablation and 1 had HIFU followed by salvage RP. Of those undergoing radiation (92 patients), 66 had external beam and 26 had brachytherapy. RESULTS: Prior to active treatment 25/443 (5.6%) patients had UI documented in their history. Of those 25 patients only 3 went on to a RP and all had persistent UI after surgery. Two of the 25 patients went on to radiation therapy and their UI resolved. In the active treatment groups, after RP alone, 14/48 (29.2%) patients had new onset UI that persisted at a mean of 47.2 months (range 11-149 months) postoperatively. Of these 14 patients, 7 patients (14.6%) had significant leakage (> 1 pad/day). After radiation therapy alone 2/85(2.4%) had new onset persistent UI at 34 and 49 months post radiation. Only 1/7 (14.3%) patients that had high intensity focused ultrasound (HIFU) alone had persistent UI at 38 months after HIFU. Of the 7 patients that had both a RP and radiation, 2 had persistent significant UI at 49 and 153 months after surgery. One patient that had HIFU and a RP had persistent UI at 23 months post surgery. The 2 patients that had focal ablation were dry. CONCLUSIONS: The UI rates in our cohort of active surveillance patients who move on to active treatment are similar to patients who undergo treatment immediately after prostate cancer is diagnosed as quoted in the literature. This suggests that active surveillance, as an initial mode of therapy, does not increase the risk of UI if active treatment occurs at a later date.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".