Squamoid Eccrine Ductal Carcinoma: Treatment and Outcomes
Bibliographic record
Abstract
BACKGROUND: Squamoid eccrine ductal carcinoma (SEDC) represents a subtype of eccrine carcinomas that are diagnostically challenging for both clinicians and dermatopathologists. OBJECTIVE: To provide an updated review of SEDC and examine patient outcomes with different treatment modalities. METHODS: A review of Ovid MEDLINE was performed to review the English language medical literature of SEDC. RESULTS: A comprehensive review of clinical presentation, histologic findings, rates of lymphovascular and metastatic disease, treatment modalities and recurrence rates are reviewed. LIMITATIONS: There is a limitation on available data because of the rare incidence. CONCLUSIONS: SEDC is a rare adnexal neoplasm with a relatively high rate of local recurrence, lymphovascular invasion, perineural invasion, and metastases. Clinicians should be aware of this entity as close follow-up is essential to detect recurrence and metastatic disease. Mohs micrographic surgery seems to result in superior patient outcomes.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".