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Systematic review: Outcome reporting bias is a problem in high impact factor neurology journals

BACKGROUND: Selective outcome reporting is a significant methodological concern. Comparisons between the outcomes reported in clinical trial registrations and those later published allow investigators to understand the extent of selection bias among trialists. We examined the possibility of selectiv...

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Autores principales: Howard, Benjamin, Scott, Jared T., Blubaugh, Mark, Roepke, Brie, Scheckel, Caleb, Vassar, Matt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5519049/
https://www.ncbi.nlm.nih.gov/pubmed/28727834
http://dx.doi.org/10.1371/journal.pone.0180986
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author Howard, Benjamin
Scott, Jared T.
Blubaugh, Mark
Roepke, Brie
Scheckel, Caleb
Vassar, Matt
author_facet Howard, Benjamin
Scott, Jared T.
Blubaugh, Mark
Roepke, Brie
Scheckel, Caleb
Vassar, Matt
author_sort Howard, Benjamin
collection PubMed
description BACKGROUND: Selective outcome reporting is a significant methodological concern. Comparisons between the outcomes reported in clinical trial registrations and those later published allow investigators to understand the extent of selection bias among trialists. We examined the possibility of selective outcome reporting in randomized controlled trials (RCTs) published in neurology journals. METHODS: We searched PubMed for randomized controlled trials from Jan 1, 2010 –Dec 31, 2015 published in the top 3 impact factor neurology journals. These articles were screened according to specific inclusion criteria. Each author individually extracted data from trials following a standardized protocol. A second author verified each extracted element and discrepancies were resolved. Consistency between registered and published outcomes was evaluated and correlations between discrepancies and funding, journal, and temporal trends were examined. RESULTS: 180 trials were included for analysis. 10 (6%) primary outcomes were demoted, 38 (21%) primary outcomes were omitted from the publication, and 61 (34%) unregistered primary outcomes were added to the published report. There were 18 (10%) cases of secondary outcomes being upgraded to primary outcomes in the publication, and there were 53 (29%) changes in timing of assessment. Of 82 (46%) major discrepancies with reported p-values, 54 (66.0%) favored publication of statistically significant results. CONCLUSION: Across trials, we found 180 major discrepancies. 66% of major discrepancies with a reported p-value (n = 82) favored statistically significant results. These results suggest a need within neurology to provide more consistent and timely registration of outcomes.
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spelling pubmed-55190492017-08-07 Systematic review: Outcome reporting bias is a problem in high impact factor neurology journals Howard, Benjamin Scott, Jared T. Blubaugh, Mark Roepke, Brie Scheckel, Caleb Vassar, Matt PLoS One Research Article BACKGROUND: Selective outcome reporting is a significant methodological concern. Comparisons between the outcomes reported in clinical trial registrations and those later published allow investigators to understand the extent of selection bias among trialists. We examined the possibility of selective outcome reporting in randomized controlled trials (RCTs) published in neurology journals. METHODS: We searched PubMed for randomized controlled trials from Jan 1, 2010 –Dec 31, 2015 published in the top 3 impact factor neurology journals. These articles were screened according to specific inclusion criteria. Each author individually extracted data from trials following a standardized protocol. A second author verified each extracted element and discrepancies were resolved. Consistency between registered and published outcomes was evaluated and correlations between discrepancies and funding, journal, and temporal trends were examined. RESULTS: 180 trials were included for analysis. 10 (6%) primary outcomes were demoted, 38 (21%) primary outcomes were omitted from the publication, and 61 (34%) unregistered primary outcomes were added to the published report. There were 18 (10%) cases of secondary outcomes being upgraded to primary outcomes in the publication, and there were 53 (29%) changes in timing of assessment. Of 82 (46%) major discrepancies with reported p-values, 54 (66.0%) favored publication of statistically significant results. CONCLUSION: Across trials, we found 180 major discrepancies. 66% of major discrepancies with a reported p-value (n = 82) favored statistically significant results. These results suggest a need within neurology to provide more consistent and timely registration of outcomes. Public Library of Science 2017-07-20 /pmc/articles/PMC5519049/ /pubmed/28727834 http://dx.doi.org/10.1371/journal.pone.0180986 Text en © 2017 Howard et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Howard, Benjamin
Scott, Jared T.
Blubaugh, Mark
Roepke, Brie
Scheckel, Caleb
Vassar, Matt
Systematic review: Outcome reporting bias is a problem in high impact factor neurology journals
title Systematic review: Outcome reporting bias is a problem in high impact factor neurology journals
title_full Systematic review: Outcome reporting bias is a problem in high impact factor neurology journals
title_fullStr Systematic review: Outcome reporting bias is a problem in high impact factor neurology journals
title_full_unstemmed Systematic review: Outcome reporting bias is a problem in high impact factor neurology journals
title_short Systematic review: Outcome reporting bias is a problem in high impact factor neurology journals
title_sort systematic review: outcome reporting bias is a problem in high impact factor neurology journals
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5519049/
https://www.ncbi.nlm.nih.gov/pubmed/28727834
http://dx.doi.org/10.1371/journal.pone.0180986
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