Abstract

10082 Background: The commonly employed Kaplan-Meier (KM) method is based on the assumption that different failure types (local-regional, distant, etc.) are independent. In reality, these failures occur at different stages in disease progression and are strongly correlated with each other. The assumption of independence of different failure types may violate certain assumptions in the modeling, and hence may affect the clinical interpretation and treatment selection. A better approach to estimate cause-specific failure probability is to calculate cumulative incidence rates by taking into account other events within a competing risk framework, in which the dependency of different failures are considered. Methods: The data was based on a large retrospective cohort study conducted at the Prince of Wales Hospital in Hong Kong, China, in 1996–97. 945 patients with nasopharyngeal carcinoma (NPC) had been treated with a standard protocol and been followed up regularly with a median follow-up period of 69 months (1–122 months). We calculated the cumulative incidence rates of local-regional failure and distant metastasis, and compared the result against KM method. In competing risk analysis, local regional failure, distant metastases and death were considered as competing events during the remaining lifetime of NPC patients from first presentation. Results: The probability of local-regional failure and distant metastasis was higher by KM method than by competing risk method. The result indicated that KM analysis overestimated event rate and the difference became larger in a longer follow-up period, when more competing events occurred. Conclusion: Kaplan-Meier analysis overestimates the probability of cause-specific failure. Competing risk analysis provides us a more accurate method in the determination of the pattern of failure. It provides better evidence to clinicians to enable them to predict the prognosis and select proper therapy. [Table: see text] No significant financial relationships to disclose.

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