Pre-and Post-Prostatectomy Detrusor Wall Thickness and the Symptom Profile in Patients with Benign Prostatic Enlargement: A Prospective Review.
Bibliographic record
Abstract
INTRODUCTION: The urinary bladder undergoes morphological and functional changes in patients with symptomatic benign prostatic enlargement (BPE). These detrusor changes reflect chronically increased intravesical pressure as a result of outlet obstruction. This study aims to determine the relationship between the Pre- and Post-op detrusor wall thickness (DWT), international prostate symptom score (IPSS), and duration of lower urinary tract symptoms (LUTS) in patients who had open simple prostatectomy (OSP). METHOD: This was a prospective study of a cohort of patients who had OSP for symptomatic BPE. The IPSS and symptom duration for each patient were noted. Each patient also had an abdominal ultrasound scan with a measurement of their DWT. Retropubic OSP was done for each patient. The detrusor wall thickness was also measured 12 weeks after the prostatectomy. RESULTS: Fifty-two patients completed the study; the mean age was 66.37 ± 8.09 years. The median pre-operative IPSS was 28 (IQR = 13.75), and the median duration of symptoms was 24 months (IQR = 37 months). The mean pre-operative DWT was 4.41 ± 1.38mm, while the mean post-operative DWT was 2.16 ± 0.98mm. The preoperative IPSS (p = 0.833) and duration of symptoms (p = 0.375) did not significantly correlate with the pre-operative DWT. There was a significant reduction in the mean DWT (p < 0.001) and IPSS (p < 0.001) following prostatectomy. CONCLUSION: DWT appears not to be significantly influenced by the severity or duration of LUTS. However, it reduced significantly following OSP with corresponding improvement in urinary symptoms.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".