Anti-RNA Polymerase III Antibody Prevalence and Associated Clinical Manifestations in a Large Series of French Patients with Systemic Sclerosis: A Cross-sectional Study
Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence of anti-RNA polymerase III autoantibodies in French patients with systemic sclerosis (SSc) and to identify the associated clinical manifestations. METHODS: Consecutive patients with SSc seen in 3 tertiary centers in Paris were included. Sera samples were collected together with the relevant clinical and immunological data. Anti-RNA polymerase III antibodies were detected by ELISA at a central laboratory. Data on other antibodies were abstracted from the medical records. RESULTS: We included 319 patients: 84% women, 36% with a diffuse cutaneous subtype, 44% with pulmonary fibrosis, 5% with pulmonary hypertension, 4% with renal crisis, among whom 29 (9.4%) had anti-RNA polymerase III antibodies. These antibodies were more prevalent in patients with diffuse than with limited cutaneous disease (14.3% vs 6.0%; OR 2.6, 95% CI 1.2-5.48, p = 0.016). Renal crisis was more prevalent in patients with than in those without anti-RNA polymerase III antibodies (14% vs 3%; OR 5.0, 95% CI 1.4-17.3, p = 0.012). Renal crisis occurred in 2.2% of patients with anti-topoisomerase I and 3.9% of patients with anticentromere antibodies. Of the patients with anti-RNA polymerase III antibodies, 24 (83%) had no other systemic sclerosis-specific autoantibodies. CONCLUSION: The prevalence of anti-RNA polymerase III antibodies in French patients appeared to be lower than in the United States and similar to that in continental Europe. These antibodies were consistently associated with diffuse cutaneous disease and were the most common immunological marker for renal crisis. Anti-RNA polymerase III determination can help to risk-stratify SSc patients at high risk for this severe manifestation.
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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 | 0.000 | 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".