Medical conditions and outcomes in 371 hoarded cats from 14 sources: a retrospective study (2011–2014)
Why this work is in the frame
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Bibliographic record
Abstract
Objectives The aims of this study were to: (1) describe the source, route of surrender and signalment of hoarded cats relinquished to the Toronto Humane Society (THS); (2) document the prevalence of medical conditions by group (place of origin); (3) compare medical conditions between institutional hoarding (IH) and non-institutional hoarding (NIH) environments; and (4) report length of stay (LOS) and outcomes in hoarded and non-hoarded cats. Methods A retrospective, descriptive epidemiological study was performed using THS records from between July 2011 and June 2014. The prevalence of medical conditions was calculated for the different groups. Univariable logistic regression with a random intercept to account for autocorrelation among animals from the same group was used to examine the influence of IH and NIH environments on selected medical conditions. LOS and outcomes were calculated for hoarded and non-hoarded cats. Results Three hundred and seventy-one hoarded cats from 14 sources were included. The majority (n = 352/371) were surrendered voluntarily, many with the assistance of a community intermediary. Upper respiratory infection (URI) was the most common medical condition (38% of cats), followed by dermatological disease (30%). The prevalence of medical conditions varied substantially between groups. The odds of URI at intake (odds ratio [OR] 4.35, P = 0.044) and chronic URI (OR 23.70, P <0.0001) were significantly greater for IH compared with NIH. Adoption rates, euthanasia rates and LOS were similar for hoarded and non-hoarded cats. Conclusions and relevance The different prevalence of medical conditions in groups of hoarded cats indicates a continuum of harm and severity in animal hoarding. Hoarded cats can have LOS and live release rates comparable with non-hoarded cats. Cats from IH were significantly more likely to have chronic URI. This study highlights the need for a greater focus on IH, as well as the role of community intermediaries and the potential for a harm reduction approach to animal hoarding.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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