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Comparative Study
. 2023 Apr;128(8):1521-1528.
doi: 10.1038/s41416-023-02187-0. Epub 2023 Feb 9.

Immortal-time bias in older vs younger age groups: a simulation study with application to a population-based cohort of patients with colon cancer

Affiliations
Comparative Study

Immortal-time bias in older vs younger age groups: a simulation study with application to a population-based cohort of patients with colon cancer

Sophie Pilleron et al. Br J Cancer. 2023 Apr.

Abstract

Background: In observational studies, the risk of immortal-time bias (ITB) increases with the likelihood of early death, itself increasing with age. We investigated how age impacts the magnitude of ITB when estimating the effect of surgery on 1-year overall survival (OS) in patients with Stage IV colon cancer aged 50-74 and 75-84 in England.

Methods: Using simulations, we compared estimates from a time-fixed exposure model to three statistical methods addressing ITB: time-varying exposure, delayed entry and landmark methods. We then estimated the effect of surgery on OS using a population-based cohort of patients from the CORECT-R resource and conducted the analysis using the emulated target trial framework.

Results: In simulations, the magnitude of ITB was larger among older patients when their probability of early death increased or treatment was delayed. The bias was corrected using the methods addressing ITB. When applied to CORECT-R data, these methods yielded a smaller effect of surgery than the time-fixed exposure approach but effects were similar in both age groups.

Conclusion: ITB must be addressed in all longitudinal studies, particularly, when investigating the effect of exposure on an outcome in different groups of people (e.g., age groups) with different distributions of exposure and outcomes.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Scenarios used in simulations.
Fig. 2
Fig. 2
Overall survival estimated using the time-fixed exposure method based on the four scenarios in young and old groups.
Fig. 3
Fig. 3. Bias of the difference in 1-year overall survival (OS) based on the four scenarios.
TF time-fixed exposure method, DE delayed entry method, L landmark method, TV time-varying exposure method. Note: a difference of 0 indicates there is no immortal-time bias.

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