Anti-dense Fine Speckled 70 Autoantibodies in Japanese Children with Dermatomyositis, Localized Scleroderma, and Idiopathic Arthritis with Iridocyclitis
Bibliographic record
Abstract
To the Editor: We read with interest the article by Schmeling, et al 1. They screened a large number of sera from children with antinuclear antibody (ANA)–associated rheumatic disease (AARD) and related conditions, as well as sera from a reference cohort, for anti-dense fine speckled 70 autoantibodies (anti-DFS70ab). They showed that the frequency of anti-DFS70ab in healthy children (3/145, 2.1%) was within the lower range of that reported in adults, but that anti-DFS70ab were found at significantly higher frequencies in children with localized scleroderma (LS; 4/29, 13.8%), juvenile dermatomyositis (JDM; 2/11, 18.2%), and uveitis (3/26, 11.5%). For 331 patients with systemic lupus erythematosus (SLE) and 41 patients with systemic sclerosis, they investigated concomitant AARD-associated autoantibodies and found that only 6 patients with SLE had isolated anti-DFS70ab. This result fits the theory that anti-DFS70ab positivity in AARD is usually associated with additional AARD-related antibodies2. However, because their disease cohort was small, except for SLE and juvenile idiopathic arthritis (JIA; 202 patients), the higher frequency of the antibodies in … Address correspondence to Dr. Y. Muro, Division of Connective Tissue Disease and Autoimmunity, Department of Dermatology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan. E-mail: ymuro{at}med.nagoya-u.ac.jp
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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".