Adipose tissue-derived stromal vascular fraction for treating hands of patients with systemic sclerosis: a multicentre randomized trial Autologous AD-SVF versus placebo in systemic sclerosis
Bibliographic record
Abstract
OBJECTIVE: To assess the superiority of adipose tissue-derived stromal vascular fraction (AD-SVF) injection into the fingers vs placebo in reducing hand disability in systemic sclerosis (SSc) patients. METHODS: We performed a double-blind, multicentre, phase II trial from October 2015 to January 2018 in France. SSc patients with a Cochin Hand Function Scale (CHFS) ≥20/90 were randomized 1:1 to receive injection of AD-SVF or placebo. AD-SVF was obtained using the automated processing Celution 800/CRS system. The placebo was lactated Ringer's solution. The primary efficacy end point was the change of the CHFS score from baseline to 3 months. Secondary efficacy endpoints included the CHFS score at 6 months, hand function, vasculopathy, hand pain, skin fibrosis, sensitivity of the finger pulps, Scleroderma Health Assessment Questionnaire, patients and physician satisfaction, and safety. RESULTS: Forty patients were randomized. The AD-SVF and placebo groups were comparable for age, sex ratio, disease duration, skin fibrosis of the hands and main cause of hand disability. After 3 months' follow-up, hand function significantly improved in both groups with no between-group difference of CHFS (mean change of -9.2 [12.2] in the AD-SVF group vs -7.6 [13.2] in the placebo group). At 6 months, hand function improved in both groups. CONCLUSION: This study showed an improvement of hand function in both groups over time, with no superiority of the AD-SVF. Considering the limits of this trial, studies on a larger population of patients with homogeneous phenotype and hand handicap should be encouraged to accurately assess the benefit of AD-SVF therapy. TRIAL REGISTRATION: ClinicalTrials.gov, https://clinicaltrials.gov, NCT02558543. Registered on September 24, 2015.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".