Efficacy and safety of methoxyflurane (Penthrox) for pain control during water vapor thermal therapy (Rezum) for benign prostatic enlargement.
Bibliographic record
Abstract
INTRODUCTION: The safety and efficacy of low dose methoxyflurane disposable inhaler (Penthrox) was assessed in this study of men undergoing Rezum water vapor thermal therapy (WVTT). MATERIAL AND METHODS: An open-labeled, single-center study was conducted to demonstrate the safety and efficacy of using methoxyflurane inhaler during a Rezum procedure. Patients assessed current pain intensity using a 10-point Visual Analog Scale (VAS) of Pain at 4 timepoints including (1) before any medication, (2) initially after insertion of the rigid cystoscope and before any Rezum treatment, (3) immediately after final injection of Rezum treatment and (4) at discharge. Patients were asked to fill out the Treatment Satisfaction Questionnaire for Medication (TSQM 1.4) and one question about pain relief at discharge. Treating physician also completed the TSQM 1.4. RESULTS: Ten patients were recruited. Median prostate volume was 53.4 cc (range 24-158 cc). Patients received a median of 10.5 Rezum injections, with a median procedure time of 4.5 minutes. Median VAS scores were 0, 0.1, 0 (primary efficacy outcome) and 0 (out of scale of 10) at the 4 timepoints, respectively. TSQM scores on effectiveness, side effects, convenience and global median satisfaction rated by patients were respectively 69.4, 100.0, 77.8 and 82.1 (out of scale of 100). Treatment satisfaction on pain relief was rated as 4.0 (very good). There were no observed adverse events. CONCLUSIONS: Methoxyflurane inhaler (Penthrox) was low cost, rapid, feasible and easy to administer as a pain management strategy for Rezum therapy. Further data from a larger comparative study will be conducted.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".