Urinary bladder hyperreflexia: A rat animal model
Bibliographic record
Abstract
In this work, we are presenting a rat animal model for bladder hyperreflexia after suprasacral spinal cord transection. Our aim was to standardize an animal model that can be useful in studying this condition. After standardizing the animal model in a pilot study, 26 female Sprague-Dawley rats were subjected to spinal cord transection at the level of T10 vertebra. Four animals were subjected to cystometrogram (CMG) 24 hr after spinalization and six rats 3 weeks post-spinalization. These CMGs were compared to that of six normal controls. The detailed description of the model presented in this manuscript, is the final result after several modifications. All the animals consistently developed hyperreflexia after an initial period of spinal shock phase. Expressed volume of urine continued to decrease until it reached a plateau after peaking at 1-week post-spinalization. The attrition rate reached 27.3% after several improvements in the animal model and was mostly from self-inflicted injuries. Post-operative complications included hypothermia, decubitus ulcers, hematuria, urinary tract infection in addition to the unexplained death of two animals. In conclusion, we believe that this animal model closely resembles the clinical condition of hyperreflexia and follows similar course. The relative low cost of this animal model and the easy maintenance makes it a valuable tool to study such a condition.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".