Evaluating Three Injection Sites for Sedation/Anesthesia Using Ketamine-Xylazine in C57BL/6 Mice (Mus musculus): Intraperitoneal, Subcutaneous Interscapular, and Subcutaneous GV20 Acupuncture Sites
Bibliographic record
Abstract
Mice are commonly anesthetized (or sedated) with drugs injected via the intraperitoneal or subcutaneous interscapular routes. The Governing Vessel 20 (GV20) site, located at the top of the head, is an alternative subcutaneous injection route, shown to be successful in dogs and cats. In a multicenter, randomized, blinded study design, C57BL/6 mice ( n = 66: 60 males, 6 females) were assigned to injection with ketamine (60 mg/kg) and xylazine (5 mg/kg). Injection distributions were as follows: site 1, GV20 ( n = 10) and intraperitoneal ( n = 9); site 2, GV20 ( n = 16), interscapular subcutaneous ( n = 15), and intraperitoneal ( n = 16). Outcome measures were times to ataxia, sternal recumbency, and the loss of righting reflex. Data from sites 1 and 2 were pooled following confirmation that there were no significant differences (Mann–Whitney test). Outcome measures were compared between injection routes with a Kruskal–Wallis test followed by a Dunn multiple comparisons test. Results are reported as median (range) times. Intraperitoneal injection was faster acting than the other injection routes, and there were no significant differences between the GV20 and interscapular subcutaneous routes: ataxia (GV20, 187.0 s [120 to 272]; subcutaneous, 165.0 s [120 to 372]; intraperitoneal, 88.5 s [58 to 171]), sternal recumbency (GV20, 305.5 s [153 to 400], subcutaneous, 305.0 s [249 to 384]; intraperitoneal, 184.5 s [120 to 397]), loss of righting reflex (GV20, 399.0 s [208 to 589]; subcutaneous, 347.0 s [249 to 468]; intraperitoneal, 190.0 s [142 to 402]). In summary, the GV20 subcutaneous injection route does not appear to have benefits compared with the intraperitoneal route and is not superior to the interscapular subcutaneous injection route in C57BL/6 mice when evaluated using a combination of ketamine and xylazine.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".