Optimization of conditions related to Chrono-log platelet aggregation in feline whole blood.
Bibliographic record
Abstract
Platelet function testing is a crucial component in the diagnosis and management of hemostatic disorders in feline patients. Despite its importance, standardized methodologies for assessing platelet function in cats remain underexplored. This study aimed to optimize the conditions for Chrono-log platelet impedance aggregometry (IA) in feline whole blood, focusing on the impact of agonist type (collagen or ADP), agonist concentration, and anticoagulant (citrate or hirudin) on platelet aggregation responses. Whole blood from 10 clinically healthy domestic shorthair cats was prospectively evaluated under varying experimental conditions. Our results indicated that hirudin-anticoagulated samples produced significantly higher platelet aggregation responses compared to those anticoagulated with citrate across all agonist concentrations. A partial dose-dependent relationship was observed with collagen but not with ADP. These findings underscore the importance of selecting appropriate assay conditions for accurate platelet function testing in cats. This study provides insight into the methodology of feline whole blood impedance platelet aggregometry using the Chrono-log analyzer.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".