Development and validation of a nomogram risk prediction model for malignancy in dermatomyositis patients: a retrospective study.

ABSTRACT:

Background

Dermatomyositis accompanied with malignancy is a common poor prognostic factor of dermatomyositis. Thus, the early prediction of the risk of malignancy in patients with dermatomyositis can significantly improve the prognosis of patients. However, the identification of antibodies related to malignancy in dermatomyositis patients has not been widely implemented in clinical practice. Herein, we established a predictive nomogram model for the diagnosis of dermatomyositis associated with malignancy.

Methods

We retrospectively analyzed 240 cases of dermatomyositis patients admitted to Sun Yat-sen Memorial Hospital, Sun Yat-sen University from January 2002 to December 2019. According to the year of admission, the first 70% of the patients were used to establish a trainin

SUBMITTER: Zhong J 

PROVIDER: S-EPMC8667746 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature