Assessment of Temporal Selection Bias in Genomic Testing in a Cohort of Patients With Cancer
Menée à partir de données génomiques et cliniques portant sur 4 777 patients atteints d'un cancer (âge moyen : 62,8 ans ; 36,9 % d'hommes), cette étude évalue l'effet, sur la survie, du délai entre le diagnostic de la maladie et la réalisation d'un test génomique
Introduction : Molecular tumor profiling is now routinely performed in cancer care and research. At scale, linked tumor profiles and clinical outcomes could enable researchers to develop rich predictors of treatment effectiveness. However, profiling may be ordered in clinical practice specifically to inform treatment for worsening cancer, introducing selection bias1 into secondary analysis of genomic data. This would manifest not only as systematic differences between patients who entered a cohort and those who did not, but also as differences by timing of cohort entry. This analysis was conducted to evaluate such temporal selection bias in a large clinicogenomic data set.
JAMA Network Open , Article en libre accès, 2019