A Comparative Analysis of Paraurethral BoNT-A Injection and Combination Therapy with Alpha-Blocker and Muscle Relaxant for Supra-Sacral Spinal Cord Injury Patients with Detrusor Sphincter Dyssynergia
Bibliographic record
Abstract
Introduction: To compare the efficacy of paraurethral BoNT-A injection and a combination of muscle relaxant and alpha-blocker medication in patients with supra-sacral spinal cord injury (SCI) and detrusor sphincter dyssynergia (DSD), as measured by maximum urinary flow rate (Qmax).Methods: This was a randomized, controlled trial conducted over 6 months. Patients with suprasacral SCI and DSD were randomly assigned to two groups. Group 1 received intradetrusor BoNT-A injection with a combination of muscle relaxant and alpha-blocker medication, while Group 2 received concomitant intradetrusor and paraurethral BoNT-A injection. The primary outcome measure was maximum urinary flow rate (Qmax), assessed at baseline and after 6 months of treatment.Results: This study had 35 patients. At baseline, the mean Qmax in Group 1 was 12.6 ml/s, while in Group 2 it was 13.2 ml/s. After 6 months of treatment, the mean Qmax in Group 1 increased to 16.5ml/s, while in Group 2 it increased to 19.8ml/s (P-value<0.05).Conclusion: This study suggests that both paraurethral BoNT-A injection and a combination of muscle relaxant and alpha-blocker medication are effective in improving Qmax in patients with suprasacral SCI and DSD. However, paraurethral BoNT-A injection appears to be more effective than the combination of medications in improving Qmax. More research with larger sample sizes are required to prove these findings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".