Development of Nomogram Models Based on Peripheral Blood Score and Clinicopathological Parameters to Predict Preoperative Advanced Stage and Prognosis for Epithelial Ovarian Cancer Patients.

Bai, Gaigai; Zhou, Yue; Rong, Qing; Qiao, Sijing; Mao, Hongluan; Liu, Peishu

Bai, Gaigai; Zhou, Yue; Rong, Qing; Qiao, Sijing; Mao, Hongluan; Liu, Peishu.

Affiliation

Bai G; Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Zhou Y; Shandong Engineering Laboratory for Urogynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Rong Q; Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Qiao S; Shandong Engineering Laboratory for Urogynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Mao H; Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Liu P; Shandong Engineering Laboratory for Urogynecology, Qilu Hospital of Shandong University, Jinan, People's Republic of China.

J Inflamm Res ; 16: 1227-1241, 2023.

Article in En | MEDLINE | ID: mdl-37006810

Key words

inflammation; nutrition; ovarian cancer; peripheral blood; predict model

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Inflamm Res Year: 2023 Document type: Article Country of publication: Nueva Zelanda

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