Skin improvement is a surrogate for favourable changes in other organ systems in early diffuse cutaneous systemic sclerosis
Bibliographic record
Abstract
OBJECTIVES: Skin improvement in diffuse cutaneous SSc (dcSSc), measured with modified Rodnan skin score (mRSS), is frequently used as a primary outcome in clinical trials, but it is uncertain whether mRSS changes reflect changes in other organ systems. This aim of this study was to explore if skin changes in early dcSSc over 1 and 2 years are associated with changes in severity of other organ involvement. METHODS: Canadian Scleroderma Research Group database patients with dcSSc, disease duration of ≤5 years, no evidence of initial end-stage organ damage and/or significant comorbidity who had 1 year (n = 154) and 2 years (n = 128) of follow-up data were included. mRSS changes of 25% and/or ≥5 points were considered significant. Organ involvement was assessed by Medsger Disease Severity Score and Canadian Scleroderma Research Group definitions using bivariate, chi-square, ANOVA, adjusted regression and longitudinal mixed effect model analyses. RESULTS: Improvement in mRSS was found in 41% of patients at 1 year and in 50% at 2 years. Improved patients showed less forced vital capacity decline (P = 0.012) and less frequent new cardiac involvement (P = 0.02) over 1 year, as well as better lung (by both Disease Severity Score, P = 0.006, and Δforced vital capacity%, P = 0.026), peripheral vascular (P = 0.006) and joint/tendon (P = 0.002) involvement over 2 years. mRSS worsening was consistently linked to less favourable lung outcomes at both 1- and 2-year follow-up visits, and more severe gastrointestinal disease at 2 years. CONCLUSION: Changes in lung function in early dcSSc closely parallel skin changes. mRSS improvement reflects better prognosis for visceral disease and may be a reliable outcome measure in clinical trials.
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 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 | 0.002 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".