Systematic Review of Modern Case Series of Squamous Cell Cancer Arising in a Chronic Ulcer (Marjolin's Ulcer) of the Skin
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Bibliographic record
Abstract
PURPOSE: Marjolin's ulcer is an aggressive cutaneous malignancy that arises in chronic nonhealing wounds. A review of modern series describing Marjolin's ulcer would be helpful in defining optimal management strategies and expected outcomes. METHODS: A systematic review was performed on October 18, 2018, by querying Medline and EMBASE. Key inclusion criteria were as follows: human studies, English language, published in 2000 or later, > 10 patients, and at least 80% of the patients having squamous cell carcinoma (SCC) histology. RESULTS: There were 599 patients in 14 case series from 10 countries; 82% of patients were from low-income and middle-income countries, and 48% were women. Overall, 65% of the ulcers were preceded by burns. Mean latency ranged from 11 years to 41 years (median, 28 years). Lower extremities were the most common site (62%). Differentiation was reported as well differentiated (64%), moderately differentiated (27%), or poorly differentiated (9%). Almost one third of cases were clinically node positive, though only 7% of all cases (24 of 334) were confirmed to be pathologically involved. Distant metastasis rates were reported in only 7 series, with median rate of 5% (range, 0%-27%). The main treatment modality was surgical excision (71%), followed by amputation (24%), primary radiotherapy (2%), and chemotherapy (< 1%). Outcomes data varied in content and quality. Mortality rates were 12%, 24%, and 37% in the three series reporting between 2 and 3 years of follow-up. CONCLUSION: Marjolin's ulcer with SCC histology is an aggressive cancer with a notable potential for lymph node metastasis and distant metastasis. Comprehensive staging is recommended, with management optimally having a multidisciplinary context. Low- and middle-income countries are overrepresented in reports of Marjolin's ulcer, and there may be opportunities for prevention and early detection.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it