Relapsing Polychondritis and Large-vessel Vasculitis
Bibliographic record
Abstract
Relapsing polychondritis (RP) is a rare and in some cases fatal systemic inflammatory rheumatic disorder characterized by episodic inflammation of cartilage1,2,3. Common clinical features include chondritis of the nasal bridge, auricular cartilage, ocular and inner ear inflammation, arthritis, and involvement of the tracheobronchial tree. Destruction of the laryngeal and tracheal cartilage rings may lead to collapse of the airways and is associated with a high risk of morbidity and mortality4. Its rarity often leads to considerable delay in establishing a diagnosis1,2,3. RP may present with similar clinical features to other autoimmune rheumatic diseases such as granulomatosis with polyangiitis (GPA) and eosinophilic GPA (eGPA). Treatment for RP is usually with corticosteroids and immunosuppressive drugs but there are no randomized trials or specific guidelines for management, so treatment remains empirical and based on expert opinion5. Vascular involvement in RP ranges from 5% to 25%. The disease can affect small, medium, and large vessels. Although aortic involvement is particularly rare, it is associated with significant morbidity and mortality. The largest study in the literature evaluating aortic involvement by Le Besnerais, et al of 172 patients with RP found a prevalence of nonatheromatous aortic disease in 11 patients (6.4%)6. The pattern of … Address correspondence to Prof. D. D’Cruz, Consultant Rheumatologist, Louise Coote Lupus Unit, Guy’s Hospital, London SE1 9RT, UK. Email: david.d’cruz{at}kcl.ac.uk.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".