Case series: Bladder clot evacuation using a prostate morcellation device
Bibliographic record
Abstract
INTRODUCTION: We sought to provide a technical update on the use of a prostate morcellator device (PMD) to manage organized blood clots of the bladder following laser prostatectomy. METHODS: Herein, we describe our experience in using the Wolf Piranha morcellator in managing organized bladder blood clots supplemented with a retrospective chart review of the patients in whom this procedure was performed. RESULTS: Six patients, all male with a mean age of 75 ± 8.9 years, had organized bladder clots following either holmium laser enucleation or photoselective vaporization of the prostate managed with a PMD. Clots were recognized based on hematuria or urinary retention a median of 3.5 days following the aforementioned procedures. Initial management was attempted with more conservative measures, including a three-way Foley catheter, followed by cystoscopy with an Ellik evacuator, or a glass Tommey syringe. Morcellation times were a mean of 10.2 ± 6.15 minutes (range 2-18). This technique was able to manage clots that were an average of 173.3 ± 115.9 cc in size. The procedure was well-tolerated. No patients experienced intraoperative or morcellator-related complications. CONCLUSIONS: Benign prostatic hypertrophy frequently requires surgical endoscopic management and can be complicated by hematuria and bladder blood clot formation. When these clots become organized, this can lead to urinary retention and the required management, evacuation, may be difficult. The use of a Wolf Piranha PMD is a safe, well-tolerated, and effective in evacuating organized blood clots of the bladder.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".