Development and validation of a prognostic nomogram for gallbladder cancer patients after surgery

Gallbladder cancer is associated with late diagnosis and poor prognosis. Current study aims to develop a prognostic nomogram for predicting survival of gallbladder cancer patients after surgery. Two large cohorts were included in this analysis. One consisted of 1753 gallbladder cancer patients from...

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Published in:BMC gastroenterology 2022-04, Vol.22 (1), p.200-200, Article 200
Main Authors: Xu, Xinsen, He, Min, Wang, Hui, Zhan, Ming, Yang, Linhua
Format: Article
Language:English
Subjects:
Accuracy
Biopsy
Calibration
Cancer
Care and treatment
China
Committees
Diagnosis
Epidemiology
Gallbladder
Gallbladder cancer
Gallbladder Neoplasms - surgery
Gastroenterology
Histology
Humans
Laparoscopy
Lymphatic metastasis
Lymphatic system
Medical prognosis
Metastasis
Methods
Multivariate analysis
Neoplasm Staging
Nomogram
Nomograms
Nomography (Mathematics)
Patients
Prevention
Prognosis
Risk factors
SEER Program
Statistical analysis
Surgery
Tumor staging
Tumors
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Summary:Gallbladder cancer is associated with late diagnosis and poor prognosis. Current study aims to develop a prognostic nomogram for predicting survival of gallbladder cancer patients after surgery. Two large cohorts were included in this analysis. One consisted of 1753 gallbladder cancer patients from the Surveillance, Epidemiology, and End Results (SEER) database, and the other consisted of 239 patients from Shanghai Renji hospital. Significant prognostic factors were identified and integrated to develop the nomogram. Then the model was subjected to bootstrap internal validation and external validation. Univariate and multivariate analysis indicated that age, tumor histology, T-stage, N-stage and M-stage were significant prognostic factors, which were all included to build the nomogram. The model showed good discrimination, with a concordance index (C-index) of 0.724 (95% CI, 0.708-0.740), and good calibration. Application of the nomogram in the validation cohort still presented good discrimination (C-index, 0.715 [95% CI 0.672-0.758]) and good calibration. In the primary cohort, the C-index of the nomogram was 0.724, which was significantly higher than the Nevin staging system (C-index = 0.671; P 
ISSN:1471-230X
1471-230X
DOI:10.1186/s12876-022-02281-2