Evaluating Safety Outcomes for Benign Scrotal Surgery Performed Under Local Anesthesia
Bibliographic record
Abstract
INTRODUCTION: Benign scrotal conditions, including hydroceles, spermatoceles, and epididymal cysts, are frequently managed surgically under general or spinal anesthesia. Although this ensures adequate intraoperative analgesia, these methods increase perioperative risk, cost, and resource utilization. Local anesthesia (LA) offers a potential alternative, but contemporary outcome and complication data specific to benign scrotal surgery are limited. METHODS: We conducted a retrospective review of all adult patients undergoing hydrocelectomy, spermatocelectomy, epididymectomy, or testicular biopsy under LA alone at an ambulatory surgical center from October 2022 to February 2025. An equal mixture of 1% lidocaine and 0.25% bupivacaine was administered through a spermatic cord block and along the median raphe. Patient demographics, intraoperative events, postoperative complications, emergency department visits, primary care follow-up, and hospital admissions were analyzed with descriptive statistics. RESULTS: . All surgeries were successfully completed under LA without conversion or procedural termination. No intraoperative complications were reported. At 4- to 6-week follow-up, no patients required family physician visits for procedure-related issues; 1.0% (n = 3) presented to the emergency department for suspected wound infections, and no hospital admissions occurred. CONCLUSIONS: Benign scrotal procedures can be safely and effectively performed in an ambulatory setting under LA alone, with low complication rates and high procedural success. This approach offers significant potential to improve surgical efficiency, reduce health care costs, and enhance access to timely urologic care.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".