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Merkel Cell Carcinoma Recurrence Risk - Multivariable Model and Web-Based Calculator

McEvoy AM, Hippe DS, Lachance K, et al.
Dermatologic Surgery (2024)

Open AccessJC: April 2024

This study developed a multivariable model and web-based calculator to predict recurrence risk in Merkel cell carcinoma after initial treatment. The tool incorporated clinical and pathologic variables to provide individualized risk estimates, aiding in surveillance planning and treatment decisions.

Take-Home Messages

  • •Individualized recurrence risk prediction tools for MCC can help tailor surveillance intensity and adjuvant treatment decisions.
  • •Key predictors of MCC recurrence include tumor size, nodal status, and immunosuppression status.
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Topic

Merkel Cell Carcinoma

MCC management, staging, Mohs outcomes, adjuvant therapy

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Abstract

Merkel cell carcinoma (MCC) recurs in 40% of patients. In addition to stage, factors known to affect recurrence risk include: sex, immunosuppression, unknown primary status, age, site of primary tumor, and time since diagnosis. Create a multivariable model and web-based calculator to predict MCC recurrence risk more accurately than stage alone. Data from 618 patients in a prospective cohort were used in a competing risk regression model to estimate recurrence risk using stage and other factor...

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Literature review only. This summary is an editorial interpretation and may not reflect the complete findings of the original publication. Always refer to the full-text article for clinical decision-making.