TY - JOUR
T1 - Users’ Guides to the Medical Literature
T2 - VII. How to Use a Clinical Decision Analysis B. What Are the Results and will they Help Me in Caring for My Patients?
AU - Richardson, W. Scott
AU - Detsky, Allan S.
AU - Guyatt, Gordon
AU - Cook, Deborah
AU - Gerstein, Hertzel
AU - Hayward, Robert
AU - Holbrook, Anne
AU - Jaeschke, Roman
AU - Juniper, Elizabeth
AU - Levine, Mitchell
AU - Naylor, David
AU - Oxman, Andrew
AU - Sackett, David
AU - Tunis, Sean
AU - Walter, Stephen
AU - Williams, John
AU - Wilson, Mark
N1 - Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 1995/5/24
Y1 - 1995/5/24
N2 - YOU RECALL from the first of our two articles concerning clinical decision analysis1 that your patient is a middle-aged man with heart failure from an idiopathic dilated cardiomyopathy. You are trying to decide whether to recommend anticoagulation with warfarin to prevent systemic or pulmonary thromboembolism. Your literature search showed that no randomized clinical trials of warfarin for this use have been published. The search did discover a clinical decision analysis,2 and in the first article, we showed you how to evaluate its validity. In this article, we will show you how to interpret the results and generalizability of a clinical decision analysis(Table). As shown in the Figure, decision trees are displayed graphically, oriented from left to right, with the decision to be analyzed on the left, the compared strategies in the center, and the clinical outcomes on the right. The square box, termed a “decision node,” represents.
AB - YOU RECALL from the first of our two articles concerning clinical decision analysis1 that your patient is a middle-aged man with heart failure from an idiopathic dilated cardiomyopathy. You are trying to decide whether to recommend anticoagulation with warfarin to prevent systemic or pulmonary thromboembolism. Your literature search showed that no randomized clinical trials of warfarin for this use have been published. The search did discover a clinical decision analysis,2 and in the first article, we showed you how to evaluate its validity. In this article, we will show you how to interpret the results and generalizability of a clinical decision analysis(Table). As shown in the Figure, decision trees are displayed graphically, oriented from left to right, with the decision to be analyzed on the left, the compared strategies in the center, and the clinical outcomes on the right. The square box, termed a “decision node,” represents.
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U2 - 10.1001/jama.1995.03520440064038
DO - 10.1001/jama.1995.03520440064038
M3 - Article
C2 - 7745775
AN - SCOPUS:0029070587
SN - 0098-7484
VL - 273
SP - 1610
EP - 1613
JO - JAMA: The Journal of the American Medical Association
JF - JAMA: The Journal of the American Medical Association
IS - 20
ER -