Association of Dermoscopic Profiles of Telangiectases with Nailfold Videocapillaroscopic Patterns in Patients with Systemic Sclerosis
Bibliographic record
Abstract
To the Editor: The etiology of systemic sclerosis (SSc) remains elusive, but microangiopathy is considered to be significantly associated with disease pathophysiology1. Morphological microvascular studies in patients with SSc use nailfold videocapillaroscopy (NVC) to examine the papillary capillaries in the nail bed, which run with their major axis parallel to the skin surface2 (Figure 1a). Cutaneous telangiectases (TA) are small enlarged end vessels, mainly permanent dilatation of postcapillary venules of the subpapillary plexus3. They are readily visible; nevertheless, few studies have focused on cutaneous TA4. Figure 1. Dermoscopic spot (a) and reticular (b) telangiectases (TA) patterns are detected by using dermoscopy (DC). Nailfold papillary capillaries run parallel to the skin surface (c); in systemic sclerosis (SSc) their profile is altered and nailfold videocapillaroscopy (NVC) detects scleroderma pattern as early (d), active (e), and late (f) (200× magnification). In the other sites of the body (face, hands, chest), microvascular abnormalities may be revealed as TA (40× magnification; DB-Dermo Mips Leica AG). Dermoscopy (DC) is a noninvasive technique used in the early diagnosis of melanoma5 and nonmelanoma skin cancers, as well as inflammatory skin disorders (psoriasis, lichen … Address correspondence to Dr. M. Cutolo, Research Laboratories and U.O.C. Clinical Rheumatology, Department of Internal Medicine, IRCCS San Martino University Hospital, University of Genoa, Genoa, Italy. E-mail: m.cutolo{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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 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".