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. 2020 Jun 1;3(6):e206976.
doi: 10.1001/jamanetworkopen.2020.6976.

Assessment of Temporal Selection Bias in Genomic Testing in a Cohort of Patients With Cancer

Kenneth L Kehl  1 , Deborah Schrag  1 , Michael J Hassett  1 , Hajime Uno  1
Affiliations

Assessment of Temporal Selection Bias in Genomic Testing in a Cohort of Patients With Cancer

Kenneth L Kehl et al. JAMA Netw Open. .

Abstract

This cohort study assesses for temporal selection bias in patients with lung, breast, colorectal, pancreatic, or urothelial cancer from a single institution who had tumor profiling using a next-generation sequencing protocol between 2013 and 2017.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Kehl reported serving as a consultant/advisor to and receiving personal fees from Aetion outside the submitted work. Dr Schrag reported serving as a consultant/advisor to and receiving personal fees from Pfizer, receiving research funding from the American Association of Cancer Research, serving as an editor and receiving personal fees from JAMA, and receiving nonfinancial support from Grail outside the submitted work. Dr Schrag had a patent to PRISSMM, a phenomic data standard, pending during the course of this work. No other disclosures were reported.

Figures

Figure.
Figure.. Association Between Time to Genomic Testing and Survival by Stage at Diagnosis and Primary Cancer Site
A, Conditional Kendall τ (Tc) statistics measuring the association between time from cancer diagnosis to genomic testing and overall survival after diagnosis by stage at diagnosis among patients (N = 4777) with lung, breast, colorectal, pancreatic, or urothelial cancer who participated in an institutional next-generation sequencing study. B, Conditional Tc statistics measuring the association between time from cancer diagnosis to genomic testing and overall survival after diagnosis by primary cancer site. Whiskers indicate 95% CIs.
See this image and copyright information in PMC

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