2020
DOI: 10.1016/j.ijrobp.2019.07.056
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Immortal Time Bias in National Cancer Database Studies

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Cited by 30 publications
(19 citation statements)
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“…There are several ways of calculating survival in different study designs. Recently, much attention has been paid to immortal time bias, i.e., the time between diagnosis and the initiation of cancer treatment, which researchers should be aware of to avoid misleading conclusions concerning the benefits of therapy (30)(31)(32)(33). For example, in the South Korean study with hilar cholangiocarcinoma (12), survival was calculated from the date of cancer diagnosis to death or the last follow-up.…”
Section: Discussionmentioning
confidence: 99%
“…There are several ways of calculating survival in different study designs. Recently, much attention has been paid to immortal time bias, i.e., the time between diagnosis and the initiation of cancer treatment, which researchers should be aware of to avoid misleading conclusions concerning the benefits of therapy (30)(31)(32)(33). For example, in the South Korean study with hilar cholangiocarcinoma (12), survival was calculated from the date of cancer diagnosis to death or the last follow-up.…”
Section: Discussionmentioning
confidence: 99%
“…Hazard ratios (HRs) with 95% confidence intervals (95% CI) for possible significant prognostic factors and treatment options were calculated using univariable Cox regression. Time-dependent multivariable adjusted Cox regression model was used to preclude the immortal-time bias considering treatment options [ 16 , 17 ]. Due to missing data on some of the risk factors, a multiple imputation technique was used to increase the precision and reduce bias in the analyses.…”
Section: Methodsmentioning
confidence: 99%
“…To adjust for immortal time bias, we employed a single landmark time and excluded patients with fewer than 3 months of follow-up. 14 We chose this time period as it is our experience that the vast majority of patients complete adjuvant RT within 3 months of surgery.…”
Section: Methodsmentioning
confidence: 99%
“…Kaplan‐Meier and multivariate Cox proportional hazards analyses were used to compare overall survival (OS) between patients who did or did not receive adjuvant RT. To adjust for immortal time bias, we employed a single landmark time and excluded patients with fewer than 3 months of follow‐up 14 . We chose this time period as it is our experience that the vast majority of patients complete adjuvant RT within 3 months of surgery.…”
Section: Methodsmentioning
confidence: 99%