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An analysis of key indicators of reproducibility in radiology
BACKGROUND: Given the central role of radiology in patient care, it is important that radiological research is grounded in reproducible science. It is unclear whether there is a lack of reproducibility or transparency in radiologic research. PURPOSE: To analyze published radiology literature for the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214585/ https://www.ncbi.nlm.nih.gov/pubmed/32394098 http://dx.doi.org/10.1186/s13244-020-00870-x |
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author | Wright, Bryan D. Vo, Nam Nolan, Johnny Johnson, Austin L. Braaten, Tyler Tritz, Daniel Vassar, Matt |
author_facet | Wright, Bryan D. Vo, Nam Nolan, Johnny Johnson, Austin L. Braaten, Tyler Tritz, Daniel Vassar, Matt |
author_sort | Wright, Bryan D. |
collection | PubMed |
description | BACKGROUND: Given the central role of radiology in patient care, it is important that radiological research is grounded in reproducible science. It is unclear whether there is a lack of reproducibility or transparency in radiologic research. PURPOSE: To analyze published radiology literature for the presence or lack of key indicators of reproducibility. METHODS: This cross-sectional retrospective study was performed by conducting a search of the National Library of Medicine (NLM) for publications contained within journals in the field of radiology. Our inclusion criteria were being MEDLINE indexed, written in English, and published from January 1, 2014, to December 31, 2018. We randomly sampled 300 publications for this study. A pilot-tested Google form was used to record information from the publications regarding indicators of reproducibility. Following peer-review, we extracted data from an additional 200 publications in an attempt to reproduce our initial results. The additional 200 publications were selected from the list of initially randomized publications. RESULTS: Our initial search returned 295,543 records, from which 300 were randomly selected for analysis. Of these 300 records, 294 met inclusion criteria and 6 did not. Among the empirical publications, 5.6% (11/195, [3.0–8.3]) contained a data availability statement, 0.51% (1/195) provided clear documented raw data, 12.0% (23/191, [8.4–15.7]) provided a materials availability statement, 0% provided analysis scripts, 4.1% (8/195, [1.9–6.3]) provided a pre-registration statement, 2.1% (4/195, [0.4–3.7]) provided a protocol statement, and 3.6% (7/195, [1.5–5.7]) were pre-registered. The validation study of the 5 key indicators of reproducibility—availability of data, materials, protocols, analysis scripts, and pre-registration—resulted in 2 indicators (availability of protocols and analysis scripts) being reproduced, as they fell within the 95% confidence intervals for the proportions from the original sample. However, materials’ availability and pre-registration proportions from the validation sample were lower than what was found in the original sample. CONCLUSION: Our findings demonstrate key indicators of reproducibility are missing in the field of radiology. Thus, the ability to reproduce studies contained in radiology publications may be problematic and may have potential clinical implications. |
format | Online Article Text |
id | pubmed-7214585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-72145852020-05-14 An analysis of key indicators of reproducibility in radiology Wright, Bryan D. Vo, Nam Nolan, Johnny Johnson, Austin L. Braaten, Tyler Tritz, Daniel Vassar, Matt Insights Imaging Original Article BACKGROUND: Given the central role of radiology in patient care, it is important that radiological research is grounded in reproducible science. It is unclear whether there is a lack of reproducibility or transparency in radiologic research. PURPOSE: To analyze published radiology literature for the presence or lack of key indicators of reproducibility. METHODS: This cross-sectional retrospective study was performed by conducting a search of the National Library of Medicine (NLM) for publications contained within journals in the field of radiology. Our inclusion criteria were being MEDLINE indexed, written in English, and published from January 1, 2014, to December 31, 2018. We randomly sampled 300 publications for this study. A pilot-tested Google form was used to record information from the publications regarding indicators of reproducibility. Following peer-review, we extracted data from an additional 200 publications in an attempt to reproduce our initial results. The additional 200 publications were selected from the list of initially randomized publications. RESULTS: Our initial search returned 295,543 records, from which 300 were randomly selected for analysis. Of these 300 records, 294 met inclusion criteria and 6 did not. Among the empirical publications, 5.6% (11/195, [3.0–8.3]) contained a data availability statement, 0.51% (1/195) provided clear documented raw data, 12.0% (23/191, [8.4–15.7]) provided a materials availability statement, 0% provided analysis scripts, 4.1% (8/195, [1.9–6.3]) provided a pre-registration statement, 2.1% (4/195, [0.4–3.7]) provided a protocol statement, and 3.6% (7/195, [1.5–5.7]) were pre-registered. The validation study of the 5 key indicators of reproducibility—availability of data, materials, protocols, analysis scripts, and pre-registration—resulted in 2 indicators (availability of protocols and analysis scripts) being reproduced, as they fell within the 95% confidence intervals for the proportions from the original sample. However, materials’ availability and pre-registration proportions from the validation sample were lower than what was found in the original sample. CONCLUSION: Our findings demonstrate key indicators of reproducibility are missing in the field of radiology. Thus, the ability to reproduce studies contained in radiology publications may be problematic and may have potential clinical implications. Springer Berlin Heidelberg 2020-05-11 /pmc/articles/PMC7214585/ /pubmed/32394098 http://dx.doi.org/10.1186/s13244-020-00870-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Wright, Bryan D. Vo, Nam Nolan, Johnny Johnson, Austin L. Braaten, Tyler Tritz, Daniel Vassar, Matt An analysis of key indicators of reproducibility in radiology |
title | An analysis of key indicators of reproducibility in radiology |
title_full | An analysis of key indicators of reproducibility in radiology |
title_fullStr | An analysis of key indicators of reproducibility in radiology |
title_full_unstemmed | An analysis of key indicators of reproducibility in radiology |
title_short | An analysis of key indicators of reproducibility in radiology |
title_sort | analysis of key indicators of reproducibility in radiology |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214585/ https://www.ncbi.nlm.nih.gov/pubmed/32394098 http://dx.doi.org/10.1186/s13244-020-00870-x |
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