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Annals of Emergency Medicine
Volume 53, Issue 4
, Pages
536-543
, April 2009
Empiric Antibiotic Therapy for Sepsis Patients: Monotherapy With β-Lactam or β-Lactam Plus an Aminoglycoside? Answers to the November 2008 Journal Club Questions
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The Episcope. The user looks at the output of the device (level K) and sees the “known” risk difference (kRD) (or any other measure of effect). The known risk difference results from information trans
The Episcope. The user looks at the output of the device (level K) and sees the “known” risk difference (kRD) (or any other measure of effect). The known risk difference results from information transmitted, such as light waves through a telescope, from a causal (“etiologic”) risk difference (aRD) in a target population, through layers of lenses and filters. Each layer is a distinct domain in which certain types of biases operate, potentially further distorting the estimate of RD from its true values (aRD). It is only by considering the biases introduced at each of the 10 levels that we can determine to what degree kRD is an accurate proxy for aRD. This figure was produced by Maclure and Schneeweiss for their article “Causation of Bias: The Episcope.” Their original figure was developed for case-control epidemiologic studies. We have modified their figure slightly to include the bolded terms at each level. These terms indicate the kinds of bias that might be introduced at each level in a randomized trial. From Maclure M, Schneeweiss S. Causation of bias: the episcope. Epidemiology. 2001;12:114-122. Used with permission from Lippincott Williams & Wilkins, Baltimore, MD.
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The figure on the left represents scattered values that are somewhat distant from each other (low precision) and yet, on average, approach the target's center (high accuracy/low bias). The figure on tThe figure on the left represents scattered values that are somewhat distant from each other (low precision) and yet, on average, approach the target's center (high accuracy/low bias). The figure on the right shows several values that cluster closely together (high precision) and yet, on average, remain distant from the target's center (low accuracy/high bias).
Editor's Note: You are reading answers to the fifth installment of Annals of Emergency Medicine Journal Club. The questions and the article they are about (Sinert and Bright. Ann Emerg Med. 2008;52:557-560) were published in the November 2008 issue.Information about journal club can be found at http://www.annemergmed.com/content/journalclub.Readers should recognize that these are suggested answers. We hope they are accurate; we know that they are not comprehensive. There are many other points that could be made about these questions or about the article in general. Questions are rated “novice,” (
) “intermediate,” (
) and “advanced” (
) so that individuals planning a journal club can assign the right question to the right student. The “novice” rating does not imply that a novice should be able to spontaneously answer the question. “Novice” means we expect that someone with little background should be able to do a bit of reading, formulate an answer, and teach the material to others. Intermediate and advanced questions also will likely require some reading and research, and that reading will be sufficiently difficult that some background in clinical epidemiology will be helpful in understanding the reading and concepts.We are interested in receiving feedback about this feature. Please e-mail journalclub@acep.org with your comments.
PII: S0196-0644(08)02013-1
doi: 10.1016/j.annemergmed.2008.11.009
© 2008 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.
« Previous
Next »
Annals of Emergency Medicine
Volume 53, Issue 4
, Pages
536-543
, April 2009
