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Development and validation of risk calculators for people with thin melanomas on their skin to predict the likelihood that their cancer will return: a plain language summary of publication

Journal

FUTURE ONCOLOGY
Volume 19, Issue 2, Pages 97-102

Publisher

FUTURE MEDICINE LTD
DOI: 10.2217/fon-2022-0525

Keywords

calculator; lay summary; melanoma; nomogram; plain language summary; prediction; recurrence; survival; thin

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This article summarizes the development of risk calculators for predicting the likelihood of melanoma recurrence in patients with thin melanoma. The calculators were developed and validated using data from Dutch and Australian patients, and were found to accurately predict the risk of melanoma recurrence.
What is this summary about? This is a summary of an article describing the development of risk calculators for use in people who develop a type of melanoma on their skin called thin melanoma to predict the likelihood that their cancer will return. The article was originally published in the Journal of Clinical Oncology in 2021. How were the calculators developed? Calculations were performed to predict the chance of people with thin melanomas surviving without their melanoma recurring. Three graphical prediction calculators (called nomograms) were developed, along with easy-to-use online calculators using the same underlying calculation methods. The model was developed using data for 25,930 Dutch people diagnosed with thin melanomas (called the development set ). To test its ability to predict melanoma recurrence, it was then compared with data for 2,968 Australian people with melanoma (the validation set ). The calculators developed in the Dutch patients were found to accurately predict the risk of melanoma recurring for people with melanoma in the Australian validation group. What do the results mean? The calculators provide estimates of the risk of the melanoma returning for people with thin melanomas. The easy-to-use online calculators are freely available on a smartphone, tablet or computer, and will assist in providing accurate estimates of recurrence risks for individuals with thin melanomas, allowing more intensive follow-up of those whose predicted risk of their melanoma returning is high.

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