Temporarily implanted nitinol device versus prostatic urethral lift for minimally invasive surgical treatment of benign prostatic hyperplasia with lower urinary tract symptoms: a matching-adjusted indirect comparison.
Bibliographic record
Abstract
INTRODUCTION: To evaluate the safety and efficacy of the temporarily implanted nitinol device (iTind) versus prostatic urethral lift (PUL) for minimally invasive surgical treatment of lower urinary tract symptoms secondary to benign prostatic hyperplasia in a matching-adjusted indirect comparison (MAIC). MATERIALS AND METHODS: Seven clinical trials were identified via a systematic literature review. Individual patient data from iTind trials and aggregated data from PUL trials were used in the MAIC. Safety and efficacy outcomes at 12 months post-treatment were compared between the adjusted iTind population and the pooled PUL population. RESULTS: iTind patients were significantly less likely than PUL patients to experience treatment-related adverse events within 3 months (25.0% vs. 79.8%; p < 0.001), including dysuria (17.8% vs. 34.7%; p = 0.001), hematuria (12.0% vs. 25.9%; p = 0.002), and pain (9.5% vs. 18.7%; p = 0.023). Rates of treatment-related adverse events from 3 to 12 months were also significantly lower among iTind than PUL patients (2.6% vs. 24.4%; p < 0.001). iTind and PUL efficacy outcomes were statistically equivalent on changes from baseline to 12 months on the International Prostate Symptom Score, quality of life, Qmax, post-void residual volume, and the Sexual Health Inventory for Men (all p > 0.05). CONCLUSIONS: This MAIC found superior safety and reduced risks of early and later treatment-related adverse events with iTind versus PUL. The 12-month efficacy was equivalent on subjective and objective urinary and sexual health metrics. This study finds that the iTind temporary device provides equivalent efficacy with lower adverse event risks versus the PUL permanent implants for patients with benign prostatic hyperplasia with lower urinary tract symptoms.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.009 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".