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Assessing observational studies of medical treatments
BACKGROUND: Previous studies have assessed the validity of the observational study design by comparing results of studies using this design to results from randomized controlled trials. The present study examined design features of observational studies that could have influenced these comparisons....
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1215501/ https://www.ncbi.nlm.nih.gov/pubmed/16137327 http://dx.doi.org/10.1186/1742-7622-2-8 |
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author | Hartz, Arthur Bentler, Suzanne Charlton, Mary Lanska, Douglas Butani, Yogita Soomro, G Mustafa Benson, Kjell |
author_facet | Hartz, Arthur Bentler, Suzanne Charlton, Mary Lanska, Douglas Butani, Yogita Soomro, G Mustafa Benson, Kjell |
author_sort | Hartz, Arthur |
collection | PubMed |
description | BACKGROUND: Previous studies have assessed the validity of the observational study design by comparing results of studies using this design to results from randomized controlled trials. The present study examined design features of observational studies that could have influenced these comparisons. METHODS: To find at least 4 observational studies that evaluated the same treatment, we reviewed meta-analyses comparing observational studies and randomized controlled trials for the assessment of medical treatments. Details critical for interpretation of these studies were abstracted and analyzed qualitatively. RESULTS: Individual articles reviewed included 61 observational studies that assessed 10 treatment comparisons evaluated in two studies comparing randomized controlled trials and observational studies. The majority of studies did not report the following information: details of primary and ancillary treatments, outcome definitions, length of follow-up, inclusion/exclusion criteria, patient characteristics relevant to prognosis or treatment response, or assessment of possible confounding. When information was reported, variations in treatment specifics, outcome definition or confounding were identified as possible causes of differences between observational studies and randomized controlled trials, and of heterogeneity in observational studies. CONCLUSION: Reporting of observational studies of medical treatments was often inadequate to compare study designs or allow other meaningful interpretation of results. All observational studies should report details of treatment, outcome assessment, patient characteristics, and confounding assessment. |
format | Text |
id | pubmed-1215501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-12155012005-09-17 Assessing observational studies of medical treatments Hartz, Arthur Bentler, Suzanne Charlton, Mary Lanska, Douglas Butani, Yogita Soomro, G Mustafa Benson, Kjell Emerg Themes Epidemiol Analytic Perspective BACKGROUND: Previous studies have assessed the validity of the observational study design by comparing results of studies using this design to results from randomized controlled trials. The present study examined design features of observational studies that could have influenced these comparisons. METHODS: To find at least 4 observational studies that evaluated the same treatment, we reviewed meta-analyses comparing observational studies and randomized controlled trials for the assessment of medical treatments. Details critical for interpretation of these studies were abstracted and analyzed qualitatively. RESULTS: Individual articles reviewed included 61 observational studies that assessed 10 treatment comparisons evaluated in two studies comparing randomized controlled trials and observational studies. The majority of studies did not report the following information: details of primary and ancillary treatments, outcome definitions, length of follow-up, inclusion/exclusion criteria, patient characteristics relevant to prognosis or treatment response, or assessment of possible confounding. When information was reported, variations in treatment specifics, outcome definition or confounding were identified as possible causes of differences between observational studies and randomized controlled trials, and of heterogeneity in observational studies. CONCLUSION: Reporting of observational studies of medical treatments was often inadequate to compare study designs or allow other meaningful interpretation of results. All observational studies should report details of treatment, outcome assessment, patient characteristics, and confounding assessment. BioMed Central 2005-09-01 /pmc/articles/PMC1215501/ /pubmed/16137327 http://dx.doi.org/10.1186/1742-7622-2-8 Text en Copyright © 2005 Hartz et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Analytic Perspective Hartz, Arthur Bentler, Suzanne Charlton, Mary Lanska, Douglas Butani, Yogita Soomro, G Mustafa Benson, Kjell Assessing observational studies of medical treatments |
title | Assessing observational studies of medical treatments |
title_full | Assessing observational studies of medical treatments |
title_fullStr | Assessing observational studies of medical treatments |
title_full_unstemmed | Assessing observational studies of medical treatments |
title_short | Assessing observational studies of medical treatments |
title_sort | assessing observational studies of medical treatments |
topic | Analytic Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1215501/ https://www.ncbi.nlm.nih.gov/pubmed/16137327 http://dx.doi.org/10.1186/1742-7622-2-8 |
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