Anti‐desmoglein‐2 autoantibodies do not discriminate between UK boxer dogs with and without arrhythmogenic right ventricular cardiomyopathy
Bibliographic record
Abstract
BACKGROUND: Evidence regarding the diagnostic utility of serum anti-desmoglein-2 (DSG2) autoantibodies for arrhythmogenic right ventricular cardiomyopathy (ARVC) in boxer dogs is conflicting. METHODS: Prospective standardised evaluation of apparently healthy boxer dogs for ARVC was performed at three referral centres, including blood pressure measurement, electrocardiography, echocardiography, haematology, biochemistry (including cardiac troponin I) and 24-hour Holter monitoring. Additional dogs with a diagnosis of ARVC were retrospectively recruited. ARVC disease status was defined using cut-offs of 20 or less (unaffected) and more than 300 (affected) ventricular premature complexes of right ventricular origin in 24 hours. The residual serum samples were stored at ‒80°C for analysis for anti-DSG2 autoantibodies using ELISA techniques. RESULTS: Forty boxer dogs were enrolled (11 healthy controls, 10 with preclinical ARVC and 19 with clinical ARVC). Serum anti-DSG2 autoantibodies were detected in all dogs, bar one healthy dog. DSG2 differed significantly between groups (p = 0.031) and was significantly lower in dogs with preclinical versus clinical ARVC (p = 0.025). LIMITATIONS: Some data were collected retrospectively, and some dogs were receiving antiarrhythmic therapy. CONCLUSION: Serum DSG2 autoantibodies can be present in boxer dogs with preclinical and clinical ARVC and apparently healthy controls.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".