Back to Search
Start Over
A Nomogram to Predict Prognosis in Malignant Pleural Mesothelioma.
- Source :
-
World Journal of Surgery . Jul2018, Vol. 42 Issue 7, p2134-2142. 9p. 2 Charts, 3 Graphs. - Publication Year :
- 2018
-
Abstract
- Background: Malignant pleural mesothelioma (MPM) is a rare malignancy with heterogeneous outcomes. This study was aimed to develop a nomogram to precisely and visually predict survival of MPM patients.Methods: Data from Surveillance, Epidemiology, and End Results database (1973-2014) on MPM were screened and retrieved. The prognostic effects of variables, including age, sex, race, year of diagnosis, laterality, histology, tumor stage, surgery, chemotherapy, and radiotherapy were analyzed using Kaplan-Meier method and Cox proportional hazard model. A nomogram was formulated to predict overall survival of MPM patients.Results: A total of 1092 cases who met inclusion criteria were included in this study. The overall 1-, 2-, and 3-year survival rate in the entire cohort was 45.1, 23.0, and 12.1%, with median survival of 11 months. Cox regression analysis showed that age (P < 0.001), race (P = 0.003), histology type (P < 0.001), T stage (P < 0.001), M stage (P < 0.001), TNM stage (P < 0.001), cancer-directed surgery (P < 0.001), and chemotherapy (P < 0.001) were all independent prognostic factors of MPM patients. A nomogram was established based on the results of multivariate analysis. The internal bootstrap resampling approach suggested the nomogram had sufficient discriminatory power with the C-index of 0.705 (95% CI 0.681-0.729). The calibration plots also demonstrated good consistence between the prediction and the observation.Conclusions: We developed a nomogram to accurately predict clinical outcomes of MPM patients based on individual characteristics. Risk stratification by the survival nomogram could optimize individual therapies and follow-up. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MESOTHELIOMA
*PLEURA cancer
*TUMORS
*PROGNOSIS
*ONCOLOGIC surgery
Subjects
Details
- Language :
- English
- ISSN :
- 03642313
- Volume :
- 42
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- World Journal of Surgery
- Publication Type :
- Academic Journal
- Accession number :
- 129999273
- Full Text :
- https://doi.org/10.1007/s00268-017-4424-6