Your browser doesn't support javascript.
loading
[Establishment and application of a nomogram model for prognostic risk prediction in patients with epithelial ovarian cancer].
Li, Z; Cai, X W; Yan, P; Zhou, D; He, M M; Deng, L; Wang, Y Z; Liang, Z Q.
Afiliação
  • Li Z; Department of Obstetrics and Gynecology, the First Affiliated Hospital of Army Medical University, Chongqing 400038, China.
  • Cai XW; Department of Obstetrics and Gynecology, the First Affiliated Hospital of Army Medical University, Chongqing 400038, China.
  • Yan P; Department of Obstetrics and Gynecology, the First Affiliated Hospital of Army Medical University, Chongqing 400038, China.
  • Zhou D; Department of Obstetrics and Gynecology, the First Affiliated Hospital of Army Medical University, Chongqing 400038, China.
  • He MM; Department of Obstetrics and Gynecology, the First Affiliated Hospital of Army Medical University, Chongqing 400038, China.
  • Deng L; Department of Obstetrics and Gynecology, the First Affiliated Hospital of Army Medical University, Chongqing 400038, China.
  • Wang YZ; Department of Obstetrics and Gynecology, the First Affiliated Hospital of Army Medical University, Chongqing 400038, China.
  • Liang ZQ; Department of Obstetrics and Gynecology, the First Affiliated Hospital of Army Medical University, Chongqing 400038, China.
Zhonghua Fu Chan Ke Za Zhi ; 57(3): 190-197, 2022 Mar 25.
Article em Zh | MEDLINE | ID: mdl-35385956
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Nomogramas Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: Zh Revista: Zhonghua Fu Chan Ke Za Zhi Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Nomogramas Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: Zh Revista: Zhonghua Fu Chan Ke Za Zhi Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China