Association between excess body weight and urine protein concentration in healthy 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: Markedly overweight people can develop progressive proteinuria and kidney failure secondary to obesity-related glomerulopathy (ORG). Glomerular lesions in dogs with experimentally induced obesity are similar to those in people with ORG. OBJECTIVES: The aim of this study was to evaluate if urine protein and albumin excretion is greater in overweight and obese dogs than in dogs of ideal body condition. METHODS: Client-owned dogs were screened for underlying health conditions. These dogs were assigned a body condition score (BCS) using a 9-point scoring system. Dogs with a BCS of ≥ 6 were classified as being overweight/obese, and dogs with a BCS of 4 or 5 were classified as being of ideal body weight. The urine protein:creatinine ratio (UPC) and urine albumin:creatinine ratio (UAC) were then determined, and compared between 20 overweight/obese dogs and 22 ideal body weight control dogs. RESULTS: Median UPC (0.04 [range, 0.01-0.14; interquartile range, 0.07]) and UAC (0.41 [0-10.39; 3.21]) of overweight/obese dogs were not significantly different from median UPC (0.04 [0.01-0.32; 0.07]) and UAC (0.18 [0-7.04; 1.75]) in ideal body weight dogs. CONCLUSIONS: Clinicopathologic abnormalities consistent with ORG were absent from overweight/obese dogs in this study.
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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 | 0.004 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it