Development and validation of a nomogram for primary duodenal carcinoma: a multicenter, population-based study.
Future Oncol
; 18(10): 1245-1258, 2022 Mar.
Article
en En
| MEDLINE
| ID: mdl-35114801
Aim: This study aimed to develop a predictive model for patients with duodenal carcinoma. Methods: Duodenal carcinoma patients from the Surveillance, Epidemiology, and End Results database (2010-2015) and the First Affiliated Hospital of Nanchang University (2010-2021) were enrolled. A nomogram was constructed according to least absolute shrinkage and selection operator regression analysis, the Akaike information criterion approach and Cox regression analysis. Results: Five independent prognostic factors were significantly associated with the prognosis of the duodenal carcinoma patients. A nomogram was constructed with a C-index in the training and validation cohorts of 0.671 (95% CI: 0.578-0.716) and 0.662 (95% CI: 0.529-0.773), respectively. Conclusion: The established nomogram model provided visualization of the risk of each prognostic factor.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Nomogramas
/
Neoplasias Duodenales
Tipo de estudio:
Clinical_trials
/
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Female
/
Humans
/
Male
/
Middle aged
País/Región como asunto:
America do norte
/
Asia
Idioma:
En
Revista:
Future Oncol
Año:
2022
Tipo del documento:
Article
País de afiliación:
China
Pais de publicación:
Reino Unido