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Evidence-based medicine: Classifying the evidence from clinical trials – the need to consider other dimensions

The current approach to assessing the quality of evidence obtained from clinical trials focuses on three dimensions: the quality of the design (with double-blinded randomised controlled trials representing the highest level of such design); the statistical power (beta) and the level of significance...

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Detalles Bibliográficos
Autores principales: Bellomo, Rinaldo, Bagshaw, Sean M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1751050/
https://www.ncbi.nlm.nih.gov/pubmed/17029653
http://dx.doi.org/10.1186/cc5045
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author Bellomo, Rinaldo
Bagshaw, Sean M
author_facet Bellomo, Rinaldo
Bagshaw, Sean M
author_sort Bellomo, Rinaldo
collection PubMed
description The current approach to assessing the quality of evidence obtained from clinical trials focuses on three dimensions: the quality of the design (with double-blinded randomised controlled trials representing the highest level of such design); the statistical power (beta) and the level of significance (alpha). While these aspects are important, we argue that other significant aspects of trial quality impinge upon the truthfulness of the findings: biological plausibility, reproducibility and generalisability. We present several recent studies in critical care medicine where the design, beta and alpha components of the study are seemingly satisfactory but where the aspects of biological plausibility, reproducibility and generalisability show serious limitations. Accordingly, we argue for more reflection, definition and consensus on these aspects of the evaluation of evidence.
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spelling pubmed-17510502006-12-27 Evidence-based medicine: Classifying the evidence from clinical trials – the need to consider other dimensions Bellomo, Rinaldo Bagshaw, Sean M Crit Care Review The current approach to assessing the quality of evidence obtained from clinical trials focuses on three dimensions: the quality of the design (with double-blinded randomised controlled trials representing the highest level of such design); the statistical power (beta) and the level of significance (alpha). While these aspects are important, we argue that other significant aspects of trial quality impinge upon the truthfulness of the findings: biological plausibility, reproducibility and generalisability. We present several recent studies in critical care medicine where the design, beta and alpha components of the study are seemingly satisfactory but where the aspects of biological plausibility, reproducibility and generalisability show serious limitations. Accordingly, we argue for more reflection, definition and consensus on these aspects of the evaluation of evidence. BioMed Central 2006 2006-10-04 /pmc/articles/PMC1751050/ /pubmed/17029653 http://dx.doi.org/10.1186/cc5045 Text en Copyright © 2006 BioMed Central Ltd
spellingShingle Review
Bellomo, Rinaldo
Bagshaw, Sean M
Evidence-based medicine: Classifying the evidence from clinical trials – the need to consider other dimensions
title Evidence-based medicine: Classifying the evidence from clinical trials – the need to consider other dimensions
title_full Evidence-based medicine: Classifying the evidence from clinical trials – the need to consider other dimensions
title_fullStr Evidence-based medicine: Classifying the evidence from clinical trials – the need to consider other dimensions
title_full_unstemmed Evidence-based medicine: Classifying the evidence from clinical trials – the need to consider other dimensions
title_short Evidence-based medicine: Classifying the evidence from clinical trials – the need to consider other dimensions
title_sort evidence-based medicine: classifying the evidence from clinical trials – the need to consider other dimensions
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1751050/
https://www.ncbi.nlm.nih.gov/pubmed/17029653
http://dx.doi.org/10.1186/cc5045
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