Juvenile temporal arteritis: A clinicopathological multicentric experience
Bibliographic record
Abstract
INTRODUCTION: Juvenile temporal arteritis (JTA) is a recently-described and little-known inflammatory disease and its etiology is undetermined. Less than forty cases have been published. This paper is aimed at reporting the largest JTA series and to compare it to literature data to better evaluate its characteristics at diagnosis, its evolution and treatment options. MATERIAL AND METHODS: We conducted a retrospective and descriptive multicentric study in France by identifying adult patients under the age of 50 which had a pathological temporal artery biopsy owing to the presence of a temporal arteritis. Patients with temporal arteritis as a manifestation of systemic vasculitis were excluded. RESULTS: We included 12 patients and the literature review identified 32 cases described in 27 articles, thus a total of 44 patients - 34 men and 10 women - with a median age of 30 and a maximum of 44. All patients presented either a lump in the temporal region or prominent temporal arteries, and 47.7% of patients suffered from headaches. Only 11.4% of patients presented general symptoms and 6.8% a biological inflammatory syndrome; 34.1% had peripheral blood eosinophilia; 83.7% presented a single episode and complete excision without further treatment was documented for 72.7%. Pathology analysis revealed infiltrate of inflammatory cells in the arterial wall in 97.6% of patients but also sparse giant cells for 25% and granuloma for 22.9%, perivascular extension of the inflammation for 82.6%, and presence of lymphoid follicles or germinal centres for 60%. Clinical relapses were present in 16.3% of cases. CONCLUSION: JTA is a rare, localized and benign disease. The majority of cases have only one episode which is cured by local surgery.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".