Gottron Sign with Ulceration Is Not a Poor Prognostic Factor in Patients with Dermatomyositis and Interstitial Lung Disease
Bibliographic record
Abstract
To the Editor: We read the recent article by Cao, et al 1 with great interest. They reported that patients with dermatomyositis (DM) who have Gottron papule/sign with ulceration show an increased risk of interstitial lung disease (ILD) and a significantly lower cumulative survival rate. Unlike Cao, et al , we found that the survival of DM patients with ILD and ulcerated Gottron sign was not worse than that of patients without ulceration. We retrospectively reviewed all the adult patients with DM admitted to our department from 2000 to 2012. The criteria for diagnosis of DM were the same as those used by Cao, et al 1. Clinical features and laboratory test results were assessed from the medical records, with laboratory data being those obtained at the first admission. ILD was diagnosed by detection of interstitial changes on chest computed tomography. Cancer-associated myositis was diagnosed if a malignancy was detected within 3 years … Address correspondence to Dr. T. Nagashima, Division of Rheumatology and Clinical Immunology, Department of Medicine, Jichi Medical University, Yakushiji 3311-1, Shimotsuke, Tochigi 329-0498, Japan. E-mail: naga4ma{at}jichi.ac.jp
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".