Prospective Study of Polydimethylsiloxane vs Dextranomer/Hyaluronic Acid Injection for Treatment of Vesicoureteral Reflux
Bibliographic record
Abstract
PURPOSE: Endoscopic injection of a bulking agent is becoming a first-line treatment for low grade vesicoureteral reflux. We prospectively compared the efficacy of 2 such products commercially available in Canada. MATERIALS AND METHODS: A total of 275 patients with documented grade I to V vesicoureteral reflux were prospectively enrolled in a comparative study between April 2005 and February 2011 to be randomly treated endoscopically with either polydimethylsiloxane (Macroplastique®) or dextranomer/hyaluronic acid copolymer (Deflux®). Of the ureters 202 were treated with polydimethylsiloxane and 197 with dextranomer/hyaluronic acid copolymer. Patients were followed with voiding cystourethrography at 3 months and renal ultrasonography at 3 months and at 1 year. Median followup was 4.3 years. The primary outcome was surgical success (resolution vs nonresolution), and secondary outcomes included occurrence of adverse events. RESULTS: Vesicoureteral reflux was fully corrected in 182 of 202 ureters (90%) treated with polydimethylsiloxane, compared to 159 of 197 (81%) treated with dextranomer/hyaluronic acid copolymer (p <0.05). Obstruction was found in 5 ureters. Univariate and multivariate analyses did not allow identification of any characteristics that could explain the significant difference in the success rates except for the type of product used. CONCLUSIONS: We present the largest known prospective evaluation comparing 2 bulking agents for the treatment of vesicoureteral reflux. Endoscopic injection of polydimethylsiloxane resulted in a better success rate than dextranomer/hyaluronic acid copolymer. The rate of resolution obtained with the latter is lower than those previously published due to the inclusion of high grade reflux.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".