Evaluation of three doses of oral trazodone and their impact on handling, activity, and physiological parameters in rabbits: a prospective, blinded, randomized cross-over study
Bibliographic record
Abstract
No study has determined the minimal effective dose of trazodone required to induce behavioral changes and its safety profile in rabbits. Therefore, this study aimed to determine the minimal effective dose of trazodone to improve compliance to handling, and to evaluate associated changes in motor activity, physiological and arterial blood gas parameters. Eight intact female New Zealand White rabbits (2-month-old; 1.66 ± 0.12 kg) were included in this prospective, blinded, randomized cross-over study. After a 10-day acclimation, rabbits randomly received placebo or trazodone 10, 20 or 30 mg/kg orally (PLAC, TRAZ10, TRAZ20, TRAZ30) with a 1-week wash-out period. Compliance scoring (dynamic interactive visual analog scale; DIVAS), activity levels measured with accelerometry (T0–T600), physiological parameters (temperature, heart, and respiratory rates), and arterial blood gas parameters (up to T240) were evaluated. Compliance scores, accelerometry, physiological and arterial blood gas parameters and hypoxemia prevalence (PaO2 <60 mmHg) were analyzed using linear mixed models and Chi-squared tests, respectively (P<0.05). When compared with PLAC, DIVAS scores were significantly higher at T80–120, T40–120 and T120–200 in TRAZ10, TRAZ20 and TRAZ30 post-administration, respectively. When compared with baseline, DIVAS scores were significantly higher from T80–160, T40–240 and T80–200 in TRAZ10, TRAZ20 and TRAZ30, respectively. All other parameters were not significantly different. In TRAZ30, hypoxemia was observed in 2/8 rabbits (P=0.104). In conclusion, oral trazodone improved rabbit compliance at all studied dosages, especially 20 mg/kg improved rabbit compliance without decreasing motor activity or causing hypoxemia.
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 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 | 0.015 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".