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Development of a prognostic model for long-term survival of young patients with bladder cancer: a retrospective analysis of the SEER Database.
Guo, Liuxiong; Liu, Liang; Liu, Yixuan; Yang, Tao; Wang, Gang; Liu, Junjiang; Li, Suwei; Cai, Jianhui.
Afiliación
  • Guo L; Department of Graduate School, Hebei Medical University, Shijiazhuang, Hebei, China.
  • Liu L; Department of Surgery and Urology, Hebei General Hospital, Shijiazhuang, Hebei, China.
  • Liu Y; Urology, Baoding No 1 Central Hospital, Baoding, Hebei, China.
  • Yang T; Prostate & Andrology Key Laboratory, Baoding, Hebei, China.
  • Wang G; Rheumatology and Immunology, Hebei General Hospital Affiliated to Hebei Medicine University, Shijiazhuang, Hebei, China.
  • Liu J; Department of Surgery and Urology, Hebei General Hospital Affiliated to Hebei Medicine University, Shijiazhuang, Hebei, China.
  • Li S; Department of Surgery and Urology, Hebei General Hospital Affiliated to Hebei Medicine University, Shijiazhuang, Hebei, China.
  • Cai J; Department of Surgery and Urology, Hebei General Hospital Affiliated to Hebei Medicine University, Shijiazhuang, Hebei, China.
BMJ Open ; 14(3): e080092, 2024 Mar 08.
Article en En | MEDLINE | ID: mdl-38458812
ABSTRACT

OBJECTIVES:

This study aims to present the clinical characteristics of young patients with bladder cancer (YBCa), evaluate related risk factors and construct a nomogram based on data acquired from the Surveillance, Epidemiology, and End Results (SEER) Database.

DESIGN:

Retrospective analysis of the SEER Database (2004-2015) for primary YBCa. SETTING AND

PARTICIPANTS:

Data for YBCa (defined as those aged 40 years or younger) were extracted from the SEER Database, which covers approximately 28% of the US population, using the SEER*Stat software (V.8.4.0.1). A total of 1233 YBCa were identified. Patients were randomly assigned to the training and validation sets. The database included clinicopathological features, demographic information and survival outcomes, such as age, gender, race, year of diagnosis, marital status at diagnosis, primary tumour site, histological type, tumour grade, tumour, node, metastases (TNM) staging, treatment regimen for the primary tumour, cause of death and survival time. A nomogram model was developed using univariate and multivariate analyses. The prediction model was validated using the consistency index (C-index), calibration curve and receiver operating characteristic curve. PRIMARY OUTCOME

MEASURES:

3-year, 5-year and 10-year overall survival (OS).

RESULTS:

1233 YBCa from 2004 to 2015 were randomly assigned to the training set (n=865) and validation set (n=368). Age, marital status, tumour grade, histological type and TNM staging were included in the nomogram. The C-index of the model was 0.876. The 3-year, 5-year and 10-year OS area under the curve values for the training and validation sets were 0.949, 0.923 and 0.856, and 0.919, 0.890 and 0.904, respectively. Calibration plots showed that the nomogram had a robust predictive accuracy.

CONCLUSIONS:

To our knowledge, this is the first study to establish a precise nomogram predicting the 3-year, 5-year and 10-year OS in YBCa based on multivariate analyses. Our nomogram may serve as a valuable reference for future diagnostics and individualised treatments for YBCa. However, external validation is warranted to assess the accuracy and generalisability of our prognostic model.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Vejiga Urinaria Límite: Humans Idioma: En Revista: BMJ Open Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Vejiga Urinaria Límite: Humans Idioma: En Revista: BMJ Open Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido