Recommendations for the diagnostic work‐up of cutaneous small vessel vasculitis – Position Statement of the European Academy of Dermatology and Venereology Vasculitis and Vasculopathy Task Force
Bibliographic record
Abstract
BACKGROUND: Small vessel vasculitides (SVV) comprise a heterogeneous group of cutaneous SVV (CSVV) that can be skin-limited or systemic. Given their diverse forms and symptoms and the lack of a standardized diagnostic approach, it is crucial to establish clear and consensus-driven recommendations for diagnosis. OBJECTIVES: To standardize diagnosis for the detection of the type, extent, potential causes or underlying conditions of CSVV. METHODS: International experts comprised the panel. The Delphi panel data was collected through two rounds of questionnaires. Agreement was measured using an 11-point Likert scale (0 = strongly disagree, 10 = strongly agree). A 7-vote minimum was required for agreement on each statement. Delphi panel statements scoring 3-7 were discussed during the meeting. RESULTS: 20 experts participated in the first round of the Delphi panel, while 17 experts took part in the second. They agreed that the diagnosis of CSVV relies on a combination of clinical manifestations, laboratory findings and histopathology. Palpable purpura on the lower extremities is recognized as the most reliable hallmark for most SVV and a sign of immune complex vasculitis. When the latter is suspected, a skin biopsy for direct immunofluorescence (DIF) should be obtained from an early, partially blanchable macule because the type of perivascular immunoglobulin is important for further diagnosis. The proper selection of biopsy sites for routine HE biopsy depends on the morphology of lesions. A comprehensive medical history and selected laboratory testing should be conducted to investigate organ involvement, potential causes and associated conditions. The extent of diagnostic procedures should be based on the severity, duration, systemic symptoms and recurrence of SVV. CONCLUSIONS: Experts reached a strong consensus on the management of CSVV patients, culminating in the first International Consensus Statement for adult CSVV. This statement proposes a practical management algorithm and underscores the importance of collaboration in rare diseases management.
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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 | 0.075 | 0.096 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.007 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.010 | 0.005 |
| Research integrity | 0.017 | 0.017 |
| Insufficient payload (model declined to judge) | 0.007 | 0.010 |
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".