The clinical features of dermatomyositis in a South Australian population
Bibliographic record
Abstract
Aim: To review the clinical features of dermatomyositis (DM) in a South Australian population. Methods: Retrospective review of medical records of patients with biopsy-proven DM in South Australia from 1990 to 2005. Results: There were 21 cases of biopsy-proven DM in SA (62% F, mean age 49.7 ± 18.4 years) and clinical details were available in 20 of these. Malignancy was identified in 9/20 patients; in five this followed the diagnosis of DM, with three malignancies seen within 3 months of disease onset. Three patients had a clearly defined immune insult prior to the diagnosis of DM; one patient had Mycoplasma pneumoniae infection 23 days prior to DM, two had pneumococcal and influenza vaccinations 5 and 14 days prior to the onset of DM, respectively. Two of three patients with anti-Jo-1 antibody experienced thromboembolism within 2 months of DM onset and three patients had interstitial lung disease (2 with anti-Jo-1 antibody). Creatine kinase (CK) was elevated in 15/20 cases and showed strong correlation with transaminases, and notably not with traditional inflammatory markers. Conclusions: This retrospective review of patients with biopsy-proven DM suggests a role for infection/vaccination in triggering disease onset. A particularly strong association with malignancy was observed and it is suggested that DM may predispose to thrombosis. Transaminases, in addition to CK may be used to monitor disease activity, and traditional inflammatory markers have little role in this.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".