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Structured reporting to improve transparency of analyses in prognostic marker studies

BACKGROUND: Factors contributing to the lack of understanding of research studies include poor reporting practices, such as selective reporting of statistically significant findings or insufficient methodological details. Systematic reviews have shown that prognostic factor studies continue to be po...

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Autores principales: Sauerbrei, Willi, Haeussler, Tim, Balmford, James, Huebner, Marianne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095054/
https://www.ncbi.nlm.nih.gov/pubmed/35546237
http://dx.doi.org/10.1186/s12916-022-02304-5
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author Sauerbrei, Willi
Haeussler, Tim
Balmford, James
Huebner, Marianne
author_facet Sauerbrei, Willi
Haeussler, Tim
Balmford, James
Huebner, Marianne
author_sort Sauerbrei, Willi
collection PubMed
description BACKGROUND: Factors contributing to the lack of understanding of research studies include poor reporting practices, such as selective reporting of statistically significant findings or insufficient methodological details. Systematic reviews have shown that prognostic factor studies continue to be poorly reported, even for important aspects, such as the effective sample size. The REMARK reporting guidelines support researchers in reporting key aspects of tumor marker prognostic studies. The REMARK profile was proposed to augment these guidelines to aid in structured reporting with an emphasis on including all aspects of analyses conducted. METHODS: A systematic search of prognostic factor studies was conducted, and fifteen studies published in 2015 were selected, three from each of five oncology journals. A paper was eligible for selection if it included survival outcomes and multivariable models were used in the statistical analyses. For each study, we summarized the key information in a REMARK profile consisting of details about the patient population with available variables and follow-up data, and a list of all analyses conducted. RESULTS: Structured profiles allow an easy assessment if reporting of a study only has weaknesses or if it is poor because many relevant details are missing. Studies had incomplete reporting of exclusion of patients, missing information about the number of events, or lacked details about statistical analyses, e.g., subgroup analyses in small populations without any information about the number of events. Profiles exhibit severe weaknesses in the reporting of more than 50% of the studies. The quality of analyses was not assessed, but some profiles exhibit several deficits at a glance. CONCLUSIONS: A substantial part of prognostic factor studies is poorly reported and analyzed, with severe consequences for related systematic reviews and meta-analyses. We consider inadequate reporting of single studies as one of the most important reasons that the clinical relevance of most markers is still unclear after years of research and dozens of publications. We conclude that structured reporting is an important step to improve the quality of prognostic marker research and discuss its role in the context of selective reporting, meta-analysis, study registration, predefined statistical analysis plans, and improvement of marker research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02304-5.
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spelling pubmed-90950542022-05-12 Structured reporting to improve transparency of analyses in prognostic marker studies Sauerbrei, Willi Haeussler, Tim Balmford, James Huebner, Marianne BMC Med Research Article BACKGROUND: Factors contributing to the lack of understanding of research studies include poor reporting practices, such as selective reporting of statistically significant findings or insufficient methodological details. Systematic reviews have shown that prognostic factor studies continue to be poorly reported, even for important aspects, such as the effective sample size. The REMARK reporting guidelines support researchers in reporting key aspects of tumor marker prognostic studies. The REMARK profile was proposed to augment these guidelines to aid in structured reporting with an emphasis on including all aspects of analyses conducted. METHODS: A systematic search of prognostic factor studies was conducted, and fifteen studies published in 2015 were selected, three from each of five oncology journals. A paper was eligible for selection if it included survival outcomes and multivariable models were used in the statistical analyses. For each study, we summarized the key information in a REMARK profile consisting of details about the patient population with available variables and follow-up data, and a list of all analyses conducted. RESULTS: Structured profiles allow an easy assessment if reporting of a study only has weaknesses or if it is poor because many relevant details are missing. Studies had incomplete reporting of exclusion of patients, missing information about the number of events, or lacked details about statistical analyses, e.g., subgroup analyses in small populations without any information about the number of events. Profiles exhibit severe weaknesses in the reporting of more than 50% of the studies. The quality of analyses was not assessed, but some profiles exhibit several deficits at a glance. CONCLUSIONS: A substantial part of prognostic factor studies is poorly reported and analyzed, with severe consequences for related systematic reviews and meta-analyses. We consider inadequate reporting of single studies as one of the most important reasons that the clinical relevance of most markers is still unclear after years of research and dozens of publications. We conclude that structured reporting is an important step to improve the quality of prognostic marker research and discuss its role in the context of selective reporting, meta-analysis, study registration, predefined statistical analysis plans, and improvement of marker research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02304-5. BioMed Central 2022-05-12 /pmc/articles/PMC9095054/ /pubmed/35546237 http://dx.doi.org/10.1186/s12916-022-02304-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Sauerbrei, Willi
Haeussler, Tim
Balmford, James
Huebner, Marianne
Structured reporting to improve transparency of analyses in prognostic marker studies
title Structured reporting to improve transparency of analyses in prognostic marker studies
title_full Structured reporting to improve transparency of analyses in prognostic marker studies
title_fullStr Structured reporting to improve transparency of analyses in prognostic marker studies
title_full_unstemmed Structured reporting to improve transparency of analyses in prognostic marker studies
title_short Structured reporting to improve transparency of analyses in prognostic marker studies
title_sort structured reporting to improve transparency of analyses in prognostic marker studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095054/
https://www.ncbi.nlm.nih.gov/pubmed/35546237
http://dx.doi.org/10.1186/s12916-022-02304-5
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