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Authors Walker AM, Schneeweiss S, DerSarkissian M, Duh MS
Received 21 December 2017
Accepted for publication 12 March 2018
Published 21 May 2018 Volume 2018:10 Pages 575—579
DOI http://doi.org/10.2147/CLEP.S160482
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Cristina Weinberg
Peer reviewer comments 3
Editor who approved publication: Professor Vera Ehrenstein
Background: When an exclusionary criterion is an imperfect screen, some
ineligible patients will remain in a study. Medical record review for outcome
adjudication can reveal such individuals.
Objective: To ascertain the circumstances under which it is
advisable to remove outcome cases first found to be ineligible on chart review.
Methods: The impact on the relative risk caused by
removal of ineligible outcome cases was examined under different circumstances
of confounding, prevalence, and efficacy of the screening criterion for
exclusions. The result is illustrated by a hospital-based cohort study in which
electronic medical record diagnosis served to exclude ineligible cases, and
review of text notes for putative outcome cases revealed that the codes were
only 95% sensitive. Other hypothetical scenarios provide further evidence.
Results: If a condition to be excluded is a confounder of
the exposure–outcome relation, residual confounding will continue to bias a
study after application of an imperfect screening criterion. Removal of
ineligible outcome cases after chart review creates a new bias, distinct from
residual confounding. The new bias does not depend on the magnitude of the
confounder–outcome association, and will be small if the exclusion criterion
has resulted in a low prevalence of the exclusionary condition. The new bias
caused by removal of ineligible outcome cases is almost certain to be smaller
than the confounding bias that can result if they are retained.
Conclusions: Outcome cases first discovered at chart review
to be study-ineligible should be removed from the study, even when similar
scrutiny is infeasible for non-cases.
Keywords: exclusions,
eligibility, confounding, study design, adjudication, analysis
摘要视频链接:Removal of outcome cases to
reduce confounding