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ABSTRACT: Background
At present, the risk of developing pulmonary metastasis and prognostic factors for choriocarcinoma (CC) remain unclear. This study aimed to investigate the independent risk factors and prognostic factors for pulmonary metastasis of CC and to construct a prognostic prediction model.Methods
We retrieved data on patients diagnosed with CC between 2010 and 2019 from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate logistic regressions were used to identify independent risk factors for developing pulmonary metastases in CC. Then, univariate and multivariate COX regression analyses were used to identify independent risk factors affecting the prognosis of patients with CC. Finally, we constructed a predictive nomogram and asse
SUBMITTER: Li W
PROVIDER: S-EPMC12432784 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature