Evidence at a glance: error matrix approach for overviewing available evidence

<p>Abstract</p> <p>Background</p> <p>Clinical evidence continues to expand and is increasingly difficult to overview. We aimed at conceptualizing a visual assessment tool, i.e., a matrix for overviewing studies and their data in order to assess the clinical evidence at...

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Main Authors: Gluud Christian, Wetterslev Jørn, Keus Frederik, van Laarhoven Cornelis JHM
Format: Article
Language:English
Published: BMC 2010-10-01
Series:BMC Medical Research Methodology
Online Access:http://www.biomedcentral.com/1471-2288/10/90
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spelling doaj-4ab3a42efbc64544848e9747d8f15af12020-11-24T22:21:49ZengBMCBMC Medical Research Methodology1471-22882010-10-011019010.1186/1471-2288-10-90Evidence at a glance: error matrix approach for overviewing available evidenceGluud ChristianWetterslev JørnKeus Frederikvan Laarhoven Cornelis JHM<p>Abstract</p> <p>Background</p> <p>Clinical evidence continues to expand and is increasingly difficult to overview. We aimed at conceptualizing a visual assessment tool, i.e., a matrix for overviewing studies and their data in order to assess the clinical evidence at a glance.</p> <p>Methods</p> <p>A four-step matrix was constructed using the three dimensions of systematic error, random error, and design error. Matrix step I ranks the identified studies according to the dimensions of systematic errors and random errors. Matrix step II orders the studies according to the design errors. Matrix step III assesses the three dimensions of errors in studies. Matrix step IV assesses the size and direction of the intervention effect.</p> <p>Results</p> <p>The application of this four-step matrix is illustrated with two examples: peri-operative beta-blockade initialized in relation to surgery versus placebo for major non-cardiac surgery, and antiarrhythmics for maintaining sinus rhythm after cardioversion of atrial fibrillation. When clinical evidence is deemed both internally and externally valid, the size of the intervention effect is to be assessed.</p> <p>Conclusion</p> <p>The error matrix provides an overview of the validity of the available evidence at a glance, and may assist in deciding which interventions to use in clinical practice.</p> http://www.biomedcentral.com/1471-2288/10/90
collection DOAJ
language English
format Article
sources DOAJ
author Gluud Christian
Wetterslev Jørn
Keus Frederik
van Laarhoven Cornelis JHM
spellingShingle Gluud Christian
Wetterslev Jørn
Keus Frederik
van Laarhoven Cornelis JHM
Evidence at a glance: error matrix approach for overviewing available evidence
BMC Medical Research Methodology
author_facet Gluud Christian
Wetterslev Jørn
Keus Frederik
van Laarhoven Cornelis JHM
author_sort Gluud Christian
title Evidence at a glance: error matrix approach for overviewing available evidence
title_short Evidence at a glance: error matrix approach for overviewing available evidence
title_full Evidence at a glance: error matrix approach for overviewing available evidence
title_fullStr Evidence at a glance: error matrix approach for overviewing available evidence
title_full_unstemmed Evidence at a glance: error matrix approach for overviewing available evidence
title_sort evidence at a glance: error matrix approach for overviewing available evidence
publisher BMC
series BMC Medical Research Methodology
issn 1471-2288
publishDate 2010-10-01
description <p>Abstract</p> <p>Background</p> <p>Clinical evidence continues to expand and is increasingly difficult to overview. We aimed at conceptualizing a visual assessment tool, i.e., a matrix for overviewing studies and their data in order to assess the clinical evidence at a glance.</p> <p>Methods</p> <p>A four-step matrix was constructed using the three dimensions of systematic error, random error, and design error. Matrix step I ranks the identified studies according to the dimensions of systematic errors and random errors. Matrix step II orders the studies according to the design errors. Matrix step III assesses the three dimensions of errors in studies. Matrix step IV assesses the size and direction of the intervention effect.</p> <p>Results</p> <p>The application of this four-step matrix is illustrated with two examples: peri-operative beta-blockade initialized in relation to surgery versus placebo for major non-cardiac surgery, and antiarrhythmics for maintaining sinus rhythm after cardioversion of atrial fibrillation. When clinical evidence is deemed both internally and externally valid, the size of the intervention effect is to be assessed.</p> <p>Conclusion</p> <p>The error matrix provides an overview of the validity of the available evidence at a glance, and may assist in deciding which interventions to use in clinical practice.</p>
url http://www.biomedcentral.com/1471-2288/10/90
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