Predictors of Survival among Male and Female Patients with Malignant Pleural Mesothelioma: A Random Survival Forest Analysis of Data from the 2000-2017 Surveillance, Epidemiology, and End Results Program
| Autor: | Bian, Liu, Li, Niu, Francis, Boscoe, Furrina F, Lee |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of registry management. 48(3) |
| ISSN: | 1945-6123 2000-2017 |
| Popis: | Malignant pleural mesothelioma (MPM) is a rare and aggressive malignancy with a dismal prognosis. We aimed to identify predictors of survival among male and female MPM patients in the United States.We identified MPM cases reported by 18 cancer registries in the Surveillance, Epidemiology, and End Results Program (2000-2017). We applied a random survival forest (RSF) algorithm to identify and rank the importance of 10 variables at patient, cancer, and area level in predicting all-cause survival overall and by female and male subgroups.Approximately 91.4% (n = 11,160) of the MPM patients had died, with better survival among females than males (11.7% vs 7.8%). The median follow-up time was 7 months (interquartile range, 2-17 months). A majority of the patients were male (78.6%), non-Hispanic White (81.8%), and residing in metropolitan counties with a population greater than 1 million (63.7%). The top 3 factors for predicting overall MPM survival were age, histological type, and cancer-directed surgery status. Except for age, the relative ranking of covariates varied by the 3 sample groups. Stage ranked fifth in predicting female survival, while it was replaced by metastasis status for male and overall patients. Race/ethnicity was not a good predictor for survival among MPM patients overall or the male subgroup, but ranked sixth for predicting survival among females. Median household income was not a good predictor for survival among females.We demonstrated that RSF successfully identified predictors of MPM survival. RSF is a viable complement to the commonly used Cox proportional hazard model and a viable alternative, particularly when the proportional hazard assumption is unmet. RSF also identified differences between the sexes, which may help explain the sex differences in MPM survival rates. |
| Databáze: | OpenAIRE |
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