Fuzapladib in a randomized controlled multicenter masked study in dogs with presumptive acute onset pancreatitis
Bibliographic record
Abstract
BACKGROUND: Currently, no specific treatment is available for acute onset pancreatitis (AP), and management relies on symptomatic and supportive standard of care (SOC). Fuzapladib is a novel leukocyte function-associated antigen type-1 (LFA-1) activation inhibitor, blocking activation and subsequent adhesion and migration of neutrophils, potentially decreasing the risk of pancreatitis progression and systemic inflammation. OBJECTIVE: Evaluate the safety and clinical response of dogs with AP after 3 days of administration of fuzapladib. ANIMALS: Sixty-one client-owned dogs with presumptive AP. METHODS: Randomized, masked, and placebo controlled multicenter study. Sixty-one dogs with AP were included for safety assessment, whereas 35 evaluable cases (fuzapladib, n = 16; placebo, n = 19) were included for clinical evaluation. Clinical improvement was assessed based on the change in the modified clinical activity index (MCAI) score on Day 3 compared to Day 0. Secondary variables included canine acute pancreatitis clinical severity index (CAPCSI) scores and serum concentrations of canine pancreatic lipase immunoreactivity, cytokines, and C-reactive protein. RESULTS: Fuzapladib was well tolerated by all treated dogs. Mean change in MCAI scores was significantly higher in the fuzapladib-treated (-7.75) than the placebo group (-5.68; P = .02, 95% confidence interval [CI] for the difference, -4.33, -0.35), suggesting clinical improvement in fuzapladib-treated dogs. No significant difference was found in any of the secondary variables between groups. CONCLUSIONS AND CLINICAL RELEVANCE: Administration of fuzapladib to dogs was safe, and a favorable response was detected in 2 clinical activity scores. Effects of fuzapladib on survival and duration of hospitalization were not studied.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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) | 0.000 | 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".