Prognostic Factors of Marjolin Ulcers: A Meta-Analysis and Systematic Review Assisted by Machine Learning Techniques.

The authors found that tumor grade, tumor site, lymph node status, and tumor size are important predictors of a worse prognosis. To integrate these predictors, the authors created an equation to predict the survival time for individual patients by means of machine learning processes. Moreover, the authors found that MU developed more quickly in older individuals with injuries.