Association between life span and body condition in neutered client-owned dogs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: There is an association between overweight status and life span in kenneled dogs, but a similar association has not been reported for pet dogs. OBJECTIVES: To examine the effects of being overweight in middle age on the life span of neutered client-owned dogs. ANIMALS: Fifty-thousand seven-hundred eighty seven middle-aged neutered client-owned dogs attending a network of approximately 900 veterinary hospitals across North America. METHODS: Retrospective case-control study. For each of 12 breeds, groups of dogs aged between 6.5 and 8.5 years were identified as being in "overweight" or "normal" body condition. Within each breed and sex, differences in life span between dogs in normal body condition and overweight body condition in the 2 groups were then analyzed by Cox proportional hazards models. RESULTS: For all breeds, instantaneous risk of death for dogs in overweight body condition was greater than those in normal body condition throughout the age range studied, with hazard ratios ranging from 1.35 (99.79% confidence interval [CI] 1.05-1.73) for German Shepherd dog to 2.86 (99.79% CI 2.14-3.83) for Yorkshire Terrier. In all breeds, median life span was shorter in overweight compared with normal weight dogs, with the difference being greatest in Yorkshire Terriers (overweight: 13.7 years, 99.79% CI 13.3-14.2; normal: 16.2 years, 99.79% CI 15.7-16.5) and least in German Shepherd dogs (overweight: 12.1 years, 99.79% CI 11.8-12.4; normal: 12.5 years, 99.79% CI 12.2-12.9). CONCLUSIONS AND CLINICAL IMPORTANCE: Veterinary professionals should consider promoting healthy body condition for dogs, particularly from midlife onward.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| 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 it