Effects of Benzalkonium Chloride Application on the Rat Bladder
Bibliographic record
Abstract
AIM: To establish a new bladder denervation model for bladder augmentation, using benzalkonium chloride (BCl) treatment, and to characterize the normal and treated rat bladder both urodynamically and immunohistochemically. METHODS: Adult Wistar rats were divided into two groups, and the bladders were treated with a local application of 0.3% BCl for 30 min in the denervation group and saline in the control group. Before and at the 8th week after treatment, cystometry was performed in all rats, and results were recorded. The bladders were removed and whole-mount sections were prepared, and also evaluated by immunohistochemistry. RESULTS: BCl-treated rats showed a significant increase in bladder capacity (p < 0.05), but no significant change was observed in other cystometric parameters (p > 0.05) when compared with control rats. Immunohistochemistry revealed none or very few nerve fibers within the BCl-treated bladders. CONCLUSIONS: The present study showed that denervation caused by BCl is useful for augmentation of the rat bladder. Bladder capacity was increased by the local application of BCl without impairing bladder functions. This method with a better understanding of the effects of BCl may be useful for augmentation in patients who have neurogenic bladder with low capacity.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".