Evolution of granuloma annulare to mid‐dermal elastolysis: report of a case and review of the literature
Bibliographic record
Abstract
A 55-year-old healthy Caucasian female, on no medication, was seen by a dermatologist because of a patchy, slightly indurated and violaceous eruption involving her neck and trunk. The clinical impression was of granuloma annulare (GA). Over a period of several months the violaceous lesions became atrophic with loss of colour and eventual wrinkling of lesional skin. Sequential skin biopsies were obtained, which revealed a spectrum of changes. Those from early violaceous lesional zones displayed perivascular lymphocytic infiltrates and interstitial granulomatous inflammation, characteristic of interstitial GA. Samples from atrophic lesional areas appeared normal on routine sections but an Orcein-Giemsa (OG) stain, prompted by the clinical history of atrophy, revealed absence of elastic fibers in the mid-reticular dermis. The combined clinicopathologic findings pointed to development of mid-dermal elastolysis (MDE) at involutional sites of GA. Owing to consideration of a cutaneous T-cell lymphoma in the differential diagnosis, genotyping in search of T-cell monoclonality was performed and yielded a negative result. Our case supports the existing but scant evidence in the literature that the rare, enigmatic condition termed MDE is an end-result of inflammatory destruction of dermal elastic fibers. GA is one form of dermatitis capable of culminating in this entity, but others have also been implicated.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".