Inconsistency in networks of evidence based on randomised controlled trials /
In this document we describe methods to detect inconsistency in a network meta-analysis. Inconsistency can be thought of as a conflict between "direct" evidence on a comparison between treatments B and C, and "indirect" evidence gained from AC and AB trials. Like heterogeneity, i...
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Online Access: |
http://www.ncbi.nlm.nih.gov/books/NBK310372/ Full text |
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Main Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
London :
National Institute for Health and Care Excellence (NICE),
2014
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Edition: | Updated. |
Series: | NICE DSU technical support document ;
4. |
Subjects: |
MARC
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245 | 1 | 0 | |a Inconsistency in networks of evidence based on randomised controlled trials / |c report by the Decision Support Unit ; Sofia Dias [and 5 others]. |
250 | |a Updated. | ||
264 | 1 | |a London : |b National Institute for Health and Care Excellence (NICE), |c April 2014. | |
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490 | 1 | |a NICE DSU technical support document ; |v 4 | |
504 | |a Includes bibliographical references. | ||
520 | 3 | |a In this document we describe methods to detect inconsistency in a network meta-analysis. Inconsistency can be thought of as a conflict between "direct" evidence on a comparison between treatments B and C, and "indirect" evidence gained from AC and AB trials. Like heterogeneity, inconsistency is caused by effect-modifiers, and specifically by an imbalance in the distribution of effect modifiers in the direct and indirect evidence. Checking for inconsistency therefore logically comes alongside a consideration of the extent of heterogeneity and its sources, and the possibility of adjustment by meta-regression or bias adjustment (see TSD3). We emphasise that while tests for inconsistency must be carried out, they are inherently underpowered, and will often fail to detect it. Investigators must therefore also ask whether, if inconsistency is not detected, conclusions from combining direct and indirect evidence can be relied upon. | |
588 | |a Description based on online resource; title from PDF title page (viewed March 18, 2019). | ||
650 | 1 | 2 | |a Randomized Controlled Trials as Topic. |0 D016032 |
650 | 2 | 2 | |a Network Meta-Analysis. |0 D000071076 |
650 | 2 | 2 | |a Data Accuracy. |0 D000068598 |
650 | 2 | 2 | |a Evidence-Based Practice. |0 D055317 |
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