Basic concepts for network meta-analysis | Conceptos básicos del metaanálisis en red
© 2013 Elsevier España, S.L.U. Systematic reviews and meta-analyses have long been fundamental tools for evidence-based clinical practice. Initially, meta-analyses were proposed as a technique that could improve the accuracy and the statistical power of previous research from individual studies with small sample size. However, one of its main limitations has been the fact of being able to compare no more than two treatments in an analysis, even when the clinical research question necessitates that we compare multiple interventions. Network meta-analysis (NMA) uses novel statistical methods that incorporate information from both direct and indirect treatment comparisons in a network of studies examining the effects of various competing treatments, estimating comparisons between many treatments in a single analysis. Despite its potential limitations, NMA applications in clinical epidemiology can be of great value in situations where there are several treatments that have been compared against a common comparator. Also, NMA can be relevant to a research or clinical question when many treatments must be considered or when there is a mix of both direct and indirect information in the body of evidence.
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dig-idaea-es-10261-2181152022-01-07T10:46:43Z Basic concepts for network meta-analysis | Conceptos básicos del metaanálisis en red Catalá-López, Ferrán Tobías, Aurelio Roqué, M. © 2013 Elsevier España, S.L.U. Systematic reviews and meta-analyses have long been fundamental tools for evidence-based clinical practice. Initially, meta-analyses were proposed as a technique that could improve the accuracy and the statistical power of previous research from individual studies with small sample size. However, one of its main limitations has been the fact of being able to compare no more than two treatments in an analysis, even when the clinical research question necessitates that we compare multiple interventions. Network meta-analysis (NMA) uses novel statistical methods that incorporate information from both direct and indirect treatment comparisons in a network of studies examining the effects of various competing treatments, estimating comparisons between many treatments in a single analysis. Despite its potential limitations, NMA applications in clinical epidemiology can be of great value in situations where there are several treatments that have been compared against a common comparator. Also, NMA can be relevant to a research or clinical question when many treatments must be considered or when there is a mix of both direct and indirect information in the body of evidence. 2020-08-18T09:10:02Z 2020-08-18T09:10:02Z 2014 2020-08-18T09:10:02Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.1016/j.aprim.2014.01.006 issn: 1578-1275 Atencion Primaria 46: 573- 581 (2014) http://hdl.handle.net/10261/218115 10.1016/j.aprim.2014.01.006 24796656 Publisher's version http://dx.doi.org/10.1016/j.aprim.2014.01.006 Sí open Doyma |
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© 2013 Elsevier España, S.L.U. Systematic reviews and meta-analyses have long been fundamental tools for evidence-based clinical practice. Initially, meta-analyses were proposed as a technique that could improve the accuracy and the statistical power of previous research from individual studies with small sample size. However, one of its main limitations has been the fact of being able to compare no more than two treatments in an analysis, even when the clinical research question necessitates that we compare multiple interventions. Network meta-analysis (NMA) uses novel statistical methods that incorporate information from both direct and indirect treatment comparisons in a network of studies examining the effects of various competing treatments, estimating comparisons between many treatments in a single analysis. Despite its potential limitations, NMA applications in clinical epidemiology can be of great value in situations where there are several treatments that have been compared against a common comparator. Also, NMA can be relevant to a research or clinical question when many treatments must be considered or when there is a mix of both direct and indirect information in the body of evidence. |
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artículo |
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Catalá-López, Ferrán Tobías, Aurelio Roqué, M. |
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Catalá-López, Ferrán Tobías, Aurelio Roqué, M. Basic concepts for network meta-analysis | Conceptos básicos del metaanálisis en red |
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Catalá-López, Ferrán Tobías, Aurelio Roqué, M. |
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Catalá-López, Ferrán |
title |
Basic concepts for network meta-analysis | Conceptos básicos del metaanálisis en red |
title_short |
Basic concepts for network meta-analysis | Conceptos básicos del metaanálisis en red |
title_full |
Basic concepts for network meta-analysis | Conceptos básicos del metaanálisis en red |
title_fullStr |
Basic concepts for network meta-analysis | Conceptos básicos del metaanálisis en red |
title_full_unstemmed |
Basic concepts for network meta-analysis | Conceptos básicos del metaanálisis en red |
title_sort |
basic concepts for network meta-analysis | conceptos básicos del metaanálisis en red |
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Doyma |
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2014 |
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http://hdl.handle.net/10261/218115 |
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1777669453175062528 |