Understanding holmium laser enucleation of the prostate (HoLEP) recovery: Assessing patient expectations and understanding
Bibliographic record
Abstract
INTRODUCTION: Although holmium laser enucleation of the prostate (HoLEP) is a highly effective surgery, there is a variable recovery period where patients may experience hematuria, dysuria, or urinary incontinence (UI). Despite preoperative consultation, there is a paucity of literature examining the effectiveness of physician-patient communication in preparing the patient for the postoperative recovery period. We sought to examine recovery expectations as a patient-reported outcome (PRO) metric for HoLEP. METHODS: ≥6 months postoperatively. Patient demographics and perioperative course was examined in the context of responses. Our primary objective was determining whether patients felt they had a reasonable understanding of the recovery process. RESULTS: We observed a 92% (46/50) response rate, with an average patient age of 69.4 years (range 55-88). Overall, 91.3% (42/46) felt they had a reasonable understanding of the recovery. Additionally, 97.8% (45/46) were aware of temporary UI, with 87% having ≥1 episodes of UI after catheter removal. We found 47.8% (22/46) of patients expected UI to resolve within 30 days, while 8.6% expected >90 days of UI. All patients were aware of the risk of hematuria, with 93.5% (43/46) expecting resolution within 30 days (<7 days: 47.8%; 7-14 days: 28.3%; 15-30 days: 17.4%). CONCLUSIONS: Although surgical technique continues to improve HoLEP, ensuring adequate physician-patient communication to optimize expectations is crucial. We report patient understanding of HoLEP recovery and areas for future improvement.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".