Abstract Number:
3632
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Poster
Participants:
Chung-Han Ho (1), Ching-Chieh Yang (2), Hsuan-Yi Huang (2), Zhi-Hao Wang (3), Yu-Cih Wu (2)
Institutions:
(1) Chi Mei Medical Center; Southern Taiwan University of Science and Technology, Tainan, Taiwan, (2) Chi Mei Medical Center, Tainan, Taiwan, (3) Southern Taiwan University of Science and Technology, Tainan, Taiwan
Co-Author(s):
Zhi-Hao Wang
Southern Taiwan University of Science and Technology
First Author:
Chung-Han Ho
Chi Mei Medical Center; Southern Taiwan University of Science and Technology
Presenting Author:
Abstract Text:
Introduction
Colorectal cancer (CRC) had higher cancer-related mortality. Due to the time bias between the cancer diagnosis and initial treatment date, the decreasing mortality after a patient receiving treatment may be exaggerated. This study aimed to explore the impact of immortal time bias on the mortality risk of CRC patients for improving the accuracy of risk prediction post-cancer diagnosis using the real-world databases, Taiwan Cancer Registry.
Methods
This study establishes a mortality risk model for CRC patients from 2012 to 2023. For assessing the immortal time bias of the mortality risk, Cox regression with landmark analysis and time-varying analysis approaches were used to estimate the hazard ratios with 95% confidence intervals.
Results and Conclusion
The time interval between diagnosis and treatment could be estimated using landmark and time-varying analysis approaches for accuracy of mortality prediction. The results indicated the correct design of methodology could elevate the precision of cancer mortality. In conclusion, exploring correlations over the time since diagnosis provides a more comprehensive perspective for improving CRC diagnosis and treatment.
Keywords:
Immortal Time Bias|Colorectal Cancer|Taiwan Cancer Registry|Cancer Mortality | |
Sponsors:
Section on Statistics in Epidemiology
Tracks:
Miscellaneous
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