Hematologic differences between Dachshunds and mixed breed dogs
Bibliographic record
Abstract
BACKGROUND: Healthy Dachshunds, like Greyhounds, are reported to have a higher HCT than other dog breeds; however, there appears to be no objective information to support this observation. OBJECTIVE: The purpose of this study was to determine whether RBC counts, indices, and total and differential WBC counts differ between Dachshunds and mixed breed dogs. METHODS: In this retrospective study, CBC data and total solids were compared between 61 healthy Dachshunds and 60 mixed breed dogs that were presented for health check, dental prophylaxis, or neutering to a university and a private clinic. RESULTS: Dachshunds had higher mean PCV (52% vs 50%; P = .047), mean HCT (52% vs 48%; P = .0003), mean RBC count (7.7 × 10(6) /μL vs 7.1 × 10(6) /μL; P = .0004), and mean HGB concentration (18.2 g/dL vs 16.8 g/dL; P = .0003) than mixed breed dogs. There were slight differences in HCT and HGB concentration between clinics (P < .05). There was no evidence of a difference in MCV, MCHC, and total solids between breeds (P > .5). More Dachshunds than mixed breed dogs had RBC variables above the reference interval: 29% vs 2% for HCT (P = .001); 40% vs 7% for HGB concentration (P = .0006); and 26% vs 5% for RBC count (P = .01). There were statistically significant but clinically unimportant differences in differential WBC counts. CONCLUSIONS: Compared with mixed breed dogs, Dachshunds have higher PCV, HCT, RBC count, and HGB concentration. Veterinarians should consider these differences when interpreting CBCs.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".