Progression of Organ Involvement in Systemic Sclerosis Patients with Persistent “Late” Nailfold Capillaroscopic Pattern of Microangiopathy: A Prospective Study
Bibliographic record
Abstract
To the Editor: Systemic sclerosis (SSc) is a complex systemic connective tissue disease characterized by vasculopathy and progressive fibrosis of skin and internal organs. Peripheral microangiopathy is a dynamic event characterized by progressive capillary loss. Its advanced stage is depicted by the “late” nailfold videocapillaroscopy (NVC) pattern of microvascular damage1. It has been reported that the decreased number of capillaries is associated with clinical subsets and the severity of SSc clinical complications2,3,4,5. We performed a study to assess, to our knowledge for the first time, possible correlations between absolute nailfold capillary number (CN) and organ involvement, in a cohort of SSc patients with the “Late” NVC pattern of microangiopathy diagnosed at baseline and during a followup of 5 years. Twenty-three patients (22 women, mean age 64.30 ± 12.38 SD yrs, mean disease duration 7.74 ± 7.61 yrs, mean Raynaud phenomenon duration 17.87 ± 15.35 yrs) affected by SSc according to the American College of Rheumatology/European League Against Rheumatism criteria and displaying the “Late” NVC pattern at baseline were recruited and followed for 5 years … Address correspondence to Dr. M. Cutolo, Research Laboratory and Academic Division of Clinical Rheumatology, Department of Internal Medicine, University of Genoa, Viale Benedetto XV, no. 6, 16132 Genoa, Italy. E-mail: mcutolo{at}unige.it
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".