Changes in skin score in early diffuse cutaneous systemic sclerosis are associated with changes in global disease severity
Bibliographic record
Abstract
OBJECTIVE: To determine whether skin score changes are associated with changes in overall disease severity, function and quality of life in early dcSSc patients. METHODS: A total of 154 and 128 dcSSc patients from the Canadian Scleroderma Research Group database with 1 and 2 year follow-up and a disease duration ⩽5 years without end-stage organ damage and/or significant comorbidity at the initial visit were included. Skin was assessed using the modified Rodnan skin score (mRSS) and disease severity by the summed Medsger disease severity score (DSS) (without skin domain), physician and patient global assessments, function [HAQ disability index (HAQ-DI)] and quality of life [36-item Short Form Health Survey (SF-36) physical component summary (PCS)]. Analyses were repeated in patients with a disease duration ⩽3 years. RESULTS: At 2 years, 64 (50%) patients had improved skin (mRSS decrease of ⩾5 points and/or ⩾25%). Skin improvers had improved summed DSS (P = 0.002); better physician global assessments of disease activity, severity and damage (all P ⩽ 0.003); better HAQ-DI (P = 0.001) and SF-36 PCS (P = 0.005). Changes in the mRSS were positively correlated with changes in summed DSS (P = 0.006) and other disease outcomes. In the 26 (20.3%) patients with worsened skin (mRSS increase of ⩾5 points and/or ⩾25%), the summed DSS and physician global assessments were worse (P = 0.01 and P ⩽ 0.009, respectively). In the subgroup with a disease duration ⩽3 years, similar associations were found. CONCLUSION: At 1 and 2 years, overall disease improvement parallels skin improvement in early dcSSc. This is important for prognosis and reflects the value of mRSS as an outcome measure in trials with these patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".