Increased adventitial thickening is a feature of pulmonary arterial remodeling in cats with bronchiolar disorders
Bibliographic record
Abstract
Objective: To compare pulmonary arterial remodeling in cats with histopathologic diagnosis of bronchiolar disorder (BD) to control cats without BD. Methods: Lung tissue from cats with primary or secondary BD (n = 13) were compared to control cats without histopathological evidence of pulmonary and cardiac disease (n = 13). Wall-to-lumen ratio scores, wall cross-sectional area, and intimal, medial, and adventitial tunic areas were compared between groups for small (70 to 300 μm), medium (301 to 999 μm), and large (≥ 1,000 µm) pulmonary arteries. Analysis used linear or linear mixed models and γ-log or arcsine distributions. Post hoc tests were performed, when applicable, with the Tukey method. Benjamini-Hochberg corrections were applied to multiple pairwise comparisons. Results: Remodeling of pulmonary arteries was found in both groups, affecting more small pulmonary arteries, medium pulmonary arteries, and large pulmonary arteries, in that order. Pulmonary arterial remodeling in cats without BD consisted of medial hypertrophy and occasional intimal fibrosis. While having changes to the intima and media, cats with BD also showed increased adventitial collagen. No significant differences were noted between groups for wall-to-lumen scores and wall cross-sectional area for all 3 categories of arteries. Adventitial area was, on average, 1.3-fold larger in cats with BD compared to controls (P = .012), whereas no difference was found for intimal and medial areas between groups (P = .05). Conclusions: The results show that cats with BD have a thicker adventitial tunic than control cats. Clinical Relevance: The adventitial tunic of pulmonary arteries may represent a potential target for therapy in cats with BD.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".