Measuring the impact of COVID-19 on cancer survival using an interrupted time series analysis.

ABSTRACT:

Background

Few studies have investigated the impact of the COVID-19 pandemic on cancer survival. Those studies that have included pandemic vs prepandemic comparisons can mask differences during different periods of the pandemic such as COVID-19 waves. The objective of this study was to investigate the impact of the COVID-19 pandemic on cancer survival using an interrupted time series analysis and to identify time points during the pandemic when observed survival deviated from expected survival.

Methods

A retrospective population-based cohort study that included individuals diagnosed with cancer between January 2015 and September 2021 from Manitoba, Canada, was performed. Interrupted time series analyses with Royston-Parmar models as well as Kaplan-Meier survival estimates an

SUBMITTER: Lambert P 

PROVIDER: S-EPMC10868396 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature