Percuflex Helical Ureteral Stents Significantly Reduce Patient Analgesic Requirements Compared to Control Stents
Bibliographic record
Abstract
INTRODUCTION AND OBJECTIVES: Ureteral stent symptoms are experienced by the majority of patients with ureteral stents. No one stent or technology has shown a clear advantage. The Helical™ stent, a spirally cut stent made of proprietary Percuflex™ material, was designed to conform to the shape of the ureter and better accommodate patient movement. We prospectively sought to compare unscheduled visits, analgesic use, and pain scores in patients who received a Percuflex Helical ureteral stent following ureteroscopy compared to a historical control group. METHODS: Fifteen (n = 15) patients undergoing ureteroscopy for the treatment of kidney stones were consented for study. A Percuflex Helical ureteral stent was inserted after treating the urinary stone. The historical control group consisted of 30 patients, from a previous (ketorolac eluting) ureteral stent study utilizing the same protocol and clinical monitoring forms, who received a regular Percuflex ureteral stent. The control patients were matched by age and sex. The primary study outcome was to compare unscheduled visits. Secondary outcomes included comparison of Visual Pain Analog Scale (VPAS) scores and analgesic use between the two groups. RESULTS: There were no differences in the gender, age, BMI, or stone characteristics between groups. Both groups underwent retrograde ureteroscopy using holmium:YAG laser lithotripsy and stone fragmentation. There was a significant reduction in the amount of analgesics required in the Helical stent group (4.4 ± 7.99 mg morphine equivalents) compared to controls (16.75 ± 18.31 mg, p = 0.0035) to achieve similar VPAS scores. There was no difference in unscheduled visits (20%) or VPAS scores (13.84 ± 13.68 helical vs 14.29 ± 11.58 control, p = 0.7910) between groups. CONCLUSIONS: Patients who received a Percuflex Helical ureteral stent required significantly fewer analgesics than those who received a Percuflex stent and both had equivalent pain scores.
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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 | 0.000 | 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 | 0.000 |
| 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".