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Activity Number:
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346
- Contributed Poster Presentations: Section on Nonparametric Statistics
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Type:
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Contributed
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Date/Time:
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Tuesday, August 9, 2022 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Nonparametric Statistics
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Abstract #323874
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Title:
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A Comprehensive Competing Risk of Survival Analysis for Kidney Cancer Patients in the United States
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Author(s):
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Md Roungu Ahmmad* and Iqbal Mahmud and Fazlay Faruque and Md Nair Uddin and Wondwosen Yimer and Jeannette Simino
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Companies:
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The University of Mississippi Medical Center and The University of Texas MD Anderson Cancer Center and The University of Mississippi Medical Center, USA and Registrar Nephrology at Rajshahi Medical College Hospital and University of Mississippi Medical Center, USA and University of Mississippi Medical Center, USA
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Keywords:
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Kidney cancer;
Cause Specific Hazard;
Sub-distributional Hazard;
Competing Risk Model;
SEER
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Abstract:
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Kidney cancer(KC)is a heterogeneous disease due to abnormal growth of clear papillary renal and transitional cell. KC incidence and mortality are on the rise therefore understanding treatment strategies on patient survival on diverse KC types may provide meaningful knowledge about the management of this notorious cancer. In this study, we aimed to investigate the event free survival and competing mortality risk for patients with heterogeneous KC types and cancer treatments. The data was taken from the US National Cancer Institute(NCI) Surveillance Epidemiology and End Results (SEER) 18 Research Plus dataset version 2020. Among 219420 patients 54772 died from KC, 41921 died from other causes and 122727 survived. An increased mortality trend was observed for male, non-White increasing age and advanced cancer stages. Surgery significantly reduced mortality in cCRCC compared with pCRCC RCC and TRCC and chemotherapy significantly decreased mortality in pCRCC and TRCC but not on CCA or PAC. Competing risk nomogram provided surgery significantly improved survival but chemotherapy and radiotherapy did not.The accuracy of all models was excellent, with lower errors and higher C indices
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Authors who are presenting talks have a * after their name.
