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Development and validation of a nomogram to predict overall survival for cervical adenocarcinoma: A population-based study.
Fa, Xin-Yu; Yang, Yong-Jing; Niu, Chun-Cao; Yu, Yong-Jiang; Diao, Jian-Dong.
Affiliation
  • Fa XY; Department of Oncology and Hematology, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Yang YJ; Department of Radiation Oncology, Jilin Cancer Hospital, Changchun, China.
  • Niu CC; Department of Oncology and Hematology, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Yu YJ; Department of Endocrinology, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, China.
  • Diao JD; Department of Oncology and Hematology, China-Japan Union Hospital of Jilin University, Changchun, China.
Medicine (Baltimore) ; 102(47): e36226, 2023 Nov 24.
Article in En | MEDLINE | ID: mdl-38013281
This study aimed to develop and validate a nomogram for predicting the overall survival of cervical adenocarcinoma (CAC) patients using a large database comprising patients with different ethnicities. We enrolled primary CAC cases with complete clinicopathological and survival data from the Surveillance, Epidemiology, and End Results program during 2004 to 2015. For training set samples, this work applied the Cox regression model to obtain factors independently associated with patient prognosis, which could be incorporated in constructing the nomogram. Altogether 3096 qualified cases were enrolled, their survival ranged from 0 to 155 (median, 45.5) months. As revealed by multivariate regression, age, marital status, tumor size, grade, International Federation of Gynecology and Obstetrics (FIGO) classification, pelvic lymph node metastasis, surgery, and chemotherapy served as the factors to independently predict CAC (all P < .05). We later incorporated these factors for constructing the nomogram. According to the concordance index determined, this nomogram had superior discrimination over FIGO classification system (all P < .001). Based on calibration plot, the predicted value was consistent with actual measurement. As revealed by time-independent area under the curves, our constructed nomogram had superior 5-year overall survival over FIGO system. Additionally, according to decision curve analysis, our constructed nomogram showed high clinical usefulness as well as favorable discrimination. Our constructed nomogram attains favorable performances, indicating that it may be applied in predicting survival for CAC patients.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adenocarcinoma / Uterine Cervical Neoplasms Limits: Female / Humans / Pregnancy Language: En Journal: Medicine (Baltimore) Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adenocarcinoma / Uterine Cervical Neoplasms Limits: Female / Humans / Pregnancy Language: En Journal: Medicine (Baltimore) Year: 2023 Document type: Article