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A focused review of statistical practices for relating radiation dose-volume exposure and toxicity
PURPOSE: Relating dose-volume histogram (DVH) information to patient outcomes is critical for outcomes research in radiation oncology, but this is statistically challenging. We performed this focused review of DVH toxicity studies to characterize current statistical approaches and determine the need...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039562/ https://www.ncbi.nlm.nih.gov/pubmed/36964622 http://dx.doi.org/10.1186/s13014-023-02220-9 |
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author | McDonald, Andrew M. Schneider, Craig S. Stahl, John M. Oster, Robert A. Popple, Richard A. Mayo, Charles S. |
author_facet | McDonald, Andrew M. Schneider, Craig S. Stahl, John M. Oster, Robert A. Popple, Richard A. Mayo, Charles S. |
author_sort | McDonald, Andrew M. |
collection | PubMed |
description | PURPOSE: Relating dose-volume histogram (DVH) information to patient outcomes is critical for outcomes research in radiation oncology, but this is statistically challenging. We performed this focused review of DVH toxicity studies to characterize current statistical approaches and determine the need for updated reporting recommendations. METHODS AND MATERIALS: We performed a focused MEDLINE search to identify studies published in 5 radiation oncology specialty journals that associated dosimetry with toxicity outcomes in humans receiving radiotherapy between 2015 and 2021. Elements abstracted from each manuscript included the study outcome, organs-at-risk (OARs) considered, DVH parameters analyzed, summary of the analytic approach, use of multivariable statistics, goodness-of-fit reporting, completeness of model reporting, assessment of multicollinearity, adjustment for multiple comparisons, and methods for dichotomizing variables. Each study was also assessed for sufficient reporting to allow for replication of results. RESULTS: The MEDLINE search returned 2,300 studies for review and 325 met the inclusion criteria for the analysis. DVH variables were dichotomized using cut points in 154 (47.4%) studies. Logistic regression (55.4% of studies) was the most common statistical method used to relate DVH to toxicity outcomes, followed by Cox regression (20.6%) and linear regression (12.0%). Multivariable statistical tests were performed in 226 (69.5%) studies; of these, the possibility of multicollinearity was addressed in 47.8% and model goodness-of-fit were reported in 32.6%. The threshold for statistical significance was adjusted to account for multiple comparisons in 41 of 196 (17.1%) studies that included multiple statistical comparisons. Twenty-eight (8.6%) studies were classified as missing details necessary to reproduce the study results. CONCLUSIONS: Current practices of statistical reporting in DVH outcomes suggest that studies may be vulnerable to threats against internal and external validity. Recommendations for reporting are provided herein to guard against such threats and to promote cohesiveness among radiation oncology outcomes researchers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13014-023-02220-9. |
format | Online Article Text |
id | pubmed-10039562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100395622023-03-26 A focused review of statistical practices for relating radiation dose-volume exposure and toxicity McDonald, Andrew M. Schneider, Craig S. Stahl, John M. Oster, Robert A. Popple, Richard A. Mayo, Charles S. Radiat Oncol Review PURPOSE: Relating dose-volume histogram (DVH) information to patient outcomes is critical for outcomes research in radiation oncology, but this is statistically challenging. We performed this focused review of DVH toxicity studies to characterize current statistical approaches and determine the need for updated reporting recommendations. METHODS AND MATERIALS: We performed a focused MEDLINE search to identify studies published in 5 radiation oncology specialty journals that associated dosimetry with toxicity outcomes in humans receiving radiotherapy between 2015 and 2021. Elements abstracted from each manuscript included the study outcome, organs-at-risk (OARs) considered, DVH parameters analyzed, summary of the analytic approach, use of multivariable statistics, goodness-of-fit reporting, completeness of model reporting, assessment of multicollinearity, adjustment for multiple comparisons, and methods for dichotomizing variables. Each study was also assessed for sufficient reporting to allow for replication of results. RESULTS: The MEDLINE search returned 2,300 studies for review and 325 met the inclusion criteria for the analysis. DVH variables were dichotomized using cut points in 154 (47.4%) studies. Logistic regression (55.4% of studies) was the most common statistical method used to relate DVH to toxicity outcomes, followed by Cox regression (20.6%) and linear regression (12.0%). Multivariable statistical tests were performed in 226 (69.5%) studies; of these, the possibility of multicollinearity was addressed in 47.8% and model goodness-of-fit were reported in 32.6%. The threshold for statistical significance was adjusted to account for multiple comparisons in 41 of 196 (17.1%) studies that included multiple statistical comparisons. Twenty-eight (8.6%) studies were classified as missing details necessary to reproduce the study results. CONCLUSIONS: Current practices of statistical reporting in DVH outcomes suggest that studies may be vulnerable to threats against internal and external validity. Recommendations for reporting are provided herein to guard against such threats and to promote cohesiveness among radiation oncology outcomes researchers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13014-023-02220-9. BioMed Central 2023-03-24 /pmc/articles/PMC10039562/ /pubmed/36964622 http://dx.doi.org/10.1186/s13014-023-02220-9 Text en © The Author(s) 2023 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 | Review McDonald, Andrew M. Schneider, Craig S. Stahl, John M. Oster, Robert A. Popple, Richard A. Mayo, Charles S. A focused review of statistical practices for relating radiation dose-volume exposure and toxicity |
title | A focused review of statistical practices for relating radiation dose-volume exposure and toxicity |
title_full | A focused review of statistical practices for relating radiation dose-volume exposure and toxicity |
title_fullStr | A focused review of statistical practices for relating radiation dose-volume exposure and toxicity |
title_full_unstemmed | A focused review of statistical practices for relating radiation dose-volume exposure and toxicity |
title_short | A focused review of statistical practices for relating radiation dose-volume exposure and toxicity |
title_sort | focused review of statistical practices for relating radiation dose-volume exposure and toxicity |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039562/ https://www.ncbi.nlm.nih.gov/pubmed/36964622 http://dx.doi.org/10.1186/s13014-023-02220-9 |
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