Characteristics and Outcomes of Squamous Cell Carcinoma and Other Cutaneous Malignancies in Epidermolysis Bullosa: A Systematic Review
Bibliographic record
Abstract
OBJECTIVE: To identify cases and summarize outcomes of cutaneous malignancies in patients with epidermolysis bullosa (EB). DATA SOURCES: MEDLINE and EMBASE databases were searched on February 8, 2022. STUDY SELECTION: Original observational or experimental studies with cases of cutaneous malignancy in patients with inherited EB were included. DATA EXTRACTION: Data were extracted by two reviewers in duplicate. DATA SYNTHESIS: A total of 87 articles with 367 patients were included in this systematic review. Squamous cell carcinomas were the most common malignancy (94.3%) with a median survival of 60 months. The presence of metastasis was investigated at diagnosis in 77 patients; 18.8% of patients had detectable metastasis. Patients with squamous cell carcinoma with metastasis at diagnosis had significantly shorter median survival (16.8 months) than those without (72 months; P = .027). The remission rate was 47.6%. At the end of follow-up, 15.1% were alive with disease, and 41.6% were deceased. Other malignancies included malignant melanoma and basal cell carcinoma. The most common initial modes of management were excisions (71.9%) and amputations (17.6%). Other modes included chemotherapy (4.6%), radiation (3.9%), and no treatment (2.6%). The overall rate of recurrence or new lesions was 38.8%, with a median time of 16 months to recurrence or new lesions. Immediate recurrence was lowest following amputation (4.3%). There were no statistically significant differences in median survival among initial excision, amputation, and all other modes combined ( P = .30). CONCLUSIONS: Squamous cell carcinomas in patients with EB have a high likelihood of metastasis and mortality. Surgical excision is the most common intervention. There are no significant differences in survival among different initial management options. There is a need for research that documents and monitors outcomes of the treatment options.
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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 | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".