Mid-dermal elastolysis: A female-centric disease; case report and updated review of the literature
Bibliographic record
Abstract
BACKGROUND: Mid-dermal elastolysis (MDE) is a rare, yet well-defined clinical and histopathologic entity manifested by fine wrinkling of the skin and mid-dermal loss of elastic fibers. This disease predominantly affects young to middle-aged Caucasian females and although it has no reported systemic features, it is psychologically bothersome and can be of great cosmetic concern. METHODS: We report a case of a healthy 45 year-old female with widespread mid-dermal elastolysis. A literature search using the search terms "mid-dermal elastolysis," "mid dermal elastolysis," "middermal elastolysis," and "elastophagocytosis" was conducted on Pubmed, using articles published from January 2008 until November 2014 to accompany Gambichler's comprehensive 1977 to 2009 review of mid-dermal elastolysis. The references of relevant papers were reviewed and further cases included as appropriate. RESULTS: We review the clinical features and histological, ultrastructural, and immunohistochemical findings of MDE, as well as differential diagnoses. There are 13 new publications of MDE since 2008. The novel findings since Gambichler's review are discussed and pathomechanisms revisited. Interestingly, given the striking female predominance of MDE, there is no known hormonal role in its etiology.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".