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Dataset Information

Development and validation of a nomogram to predict cancer-specific survival of uveal melanoma.


ABSTRACT:

Background

Uveal melanoma (UM) is a rare but aggressive cancer, which is the most common primary intraocular malignancy in adults. We aimed to develop and validate a competing risk nomogram to predict cancer-specific survival (CSS) of patients with UM, as well as compare its prognostic value with that of the American Joint Committee on Cancer (AJCC) staging system.

Methods

Data of patients diagnosed with UM from 2010 to 2015 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. We extracted and integrated significant prognostic factors based on competing risk regression to build a nomogram. The nomogram with an online prediction version was also created. The performance of the nomogram was evaluated using Harrell's concordance index (C-index)

SUBMITTER: Zeng Q 

PROVIDER: S-EPMC8147099 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature