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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".