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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".