Current advances in pain regimens for percutaneous nephrolithotomy
Bibliographic record
Abstract
INTRODUCTION: Percutaneous nephrolithotomy (PCNL) causes pain and discomfort after surgery. The primary causes of immediate postoperative pain after PCNL are visceral pain from the ureters and kidneys, and body surface discomfort from incisions. Acute, untreated pain has the potential to develop into chronic pain, which remains a considerable burden for the rehabilitation of patients. The goal of this review was to describe the current options for treating pain post-PCNL. METHODS: We conducted a literature review of all published manuscripts on pain protocols for patients undergoing PCNL and related topics; 50 published manuscripts were identified and reviewed. RESULTS: PCNL morbidity must be reduced by an appropriate management of postoperative pain. Opioids, multimodal therapy, tubeless PCNL, reduced size of nephrostomy tube, and regional anesthesia are currently available for reducing postoperative pain. CONCLUSIONS: Implementing successful treatment strategies for postoperative pain after PCNL is key in reducing the morbidity and mortality of PCNL.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".