Methodology to standardize heterogeneous statistical data presentations for combining time-to-event oncologic outcomes.

ABSTRACT: Survival analysis following oncological treatments require specific analysis techniques to account for data considerations, such as failure to observe the time of event, patient withdrawal, loss to follow-up, and differential follow up. These techniques can include Kaplan-Meier and Cox proportional hazard analyses. However, studies do not always report overall survival (OS), disease-free survival (DFS), or cancer recurrence using hazard ratios, making the synthesis of such oncologic outcomes difficult. We propose a hierarchical utilization of methods to extract or estimate the hazard ratio to standardize time-to-event outcomes so that study inclusion into meta-analyses can be maximized. We also provide proof-of concept results from a statistical analysis that compares OS, DFS, and cancer r

SUBMITTER: Hebert AE 

PROVIDER: S-EPMC8870464 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature