The Modified Hand Mobility in Scleroderma Test and Skin Involvement — A Followup Study
Bibliographic record
Abstract
OBJECTIVE: To study the change in the modified Hand Mobility in Scleroderma (mHAMIS) test from early to advanced stages of systemic sclerosis (SSc), and the relationship between mHAMIS and skin involvement during followup. METHODS: This retrospective study includes 65 patients with baseline disease duration of ≤ 3 years who were assessed with the mHAMIS test at baseline and at 1 or 2 predefined followup points (3.1-5 yrs and 5.1-9 yrs after disease onset). Studied measures were the modified Rodnan skin score (mRSS), mRSS of the hand, serum cartilage oligomeric matrix protein, and digital vascular lesions. RESULTS: The mHAMIS and the mRSS hand changed synchronously during the first 5 years after disease onset (rs = 0.44, p = 0.001). In the group with high mHAMIS at baseline, both mHAMIS and mRSS hand improved significantly at the first followup (p < 0.05), and the improvement sustained during the followup in the mRSS hand. Patients with antitopoisomerase I and anti-RNA polymerase III antibodies had significantly higher mHAMIS at baseline (p = 0.003) and at the second followup (p = 0.030) compared to patients with anticentromere antibodies. Patients with digital vascular lesions at baseline had significantly higher mHAMIS during the followup (p < 0.05) compared to patients without. The mHAMIS improved significantly during the followup in patients with immunosuppressive treatment in early disease (p < 0.05), but not in patients without this treatment. CONCLUSION: The mHAMIS reflects disease activity in fibrosis in early stages of SSc. In later stages it can be regarded as a measure of damage arising from fibrotic and vascular involvement, making it suitable as an endpoint in followup examinations.
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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 | 0.003 |
| 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 | 0.001 | 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".