Your browser doesn't support javascript.
loading
Corrigendum: Development, Validation, and Visualization of A Web-Based Nomogram for Predicting the Recurrence-Free Survival Rate of Patients With Desmoid Tumors.
Liu, Haotian; Huang, Kai; Li, Tao; Yang, Tielong; Liao, Zhichao; Zhang, Chao; Xiang, Lijie; Chen, Yong; Yang, Jilong.
Afiliação
  • Liu H; Department of Bone and Soft Tissue Tumor, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China.
  • Huang K; National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China.
  • Li T; Department of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Yang T; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Liao Z; Brandon Regional Hospital GME, HCA Healthcare/USF Morsani College of Medicine, Brandon, FL, United States.
  • Zhang C; Department of Bone and Soft-Tissue Tumor, Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
  • Xiang L; Department of Bone and Soft Tissue Tumor, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China.
  • Chen Y; National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China.
  • Yang J; Department of Bone and Soft Tissue Tumor, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China.
Front Oncol ; 11: 688620, 2021.
Article em En | MEDLINE | ID: mdl-33968790
[This corrects the article .].
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article