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Interpreting Within-Patient Changes on the EORTC QLQ-C30 and EORTC QLQ-LC13

INTRODUCTION: When determining if changes on patient-reported outcome (PRO) scores in clinical trials convey a meaningful treatment benefit, statistical significance tests alone may not communicate the patient perspective. Appraising within-patient changes on PRO scores against established threshold...

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Autores principales: Coon, Cheryl D., Schlichting, Michael, Zhang, Xinke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585005/
https://www.ncbi.nlm.nih.gov/pubmed/35771392
http://dx.doi.org/10.1007/s40271-022-00584-w
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author Coon, Cheryl D.
Schlichting, Michael
Zhang, Xinke
author_facet Coon, Cheryl D.
Schlichting, Michael
Zhang, Xinke
author_sort Coon, Cheryl D.
collection PubMed
description INTRODUCTION: When determining if changes on patient-reported outcome (PRO) scores in clinical trials convey a meaningful treatment benefit, statistical significance tests alone may not communicate the patient perspective. Appraising within-patient changes on PRO scores against established thresholds can determine if improvements or deteriorations experienced by individuals are meaningful. To evaluate the appropriateness of thresholds for interpreting meaningful improvements and deterioration within individuals on the European Organisation for Research and Treatment of Cancer (EORTC) 30-item core instrument (QLQ-C30) and 13-item lung cancer module (QLQ-LC13), a series of psychometric methods were applied to data from a phase III randomized controlled clinical trial in non-small cell lung cancer. METHODS: Anchor-based methods of empirical cumulative distribution functions and classification statistics were employed using change scores from Baseline to Week 7 using changes on the QLQ-C30 Global Health Status item as an anchor. Distribution-based methods of one-half standard deviation and standard error of measurement identified the minimum amount of change each domain score can reliably measure. RESULTS: While the correlations between the domain scores and the anchor item were modest in size (i.e., r ≥ 0.30 for only 5 of 24 domains), consideration of multiple methods along with the magnitude of possible step changes on the score allowed for patterns to emerge. The triangulation process planned a priori resulted in different methods being the source for different domain scores. Absolute values of the proposed thresholds ranged from 11.11 to 33.33, and all resulted in the same classifications for all EORTC domains, except QLQ-C30 Fatigue, as would the 10-point threshold that is traditionally used. CONCLUSION: This study confirms the appropriateness of the 10-point EORTC score threshold generally used by the field for interpreting within-patient changes, but the thresholds proposed from this study enhance interpretability by corresponding to only observable locations along the domain score scale. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40271-022-00584-w.
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spelling pubmed-95850052022-10-22 Interpreting Within-Patient Changes on the EORTC QLQ-C30 and EORTC QLQ-LC13 Coon, Cheryl D. Schlichting, Michael Zhang, Xinke Patient Original Research Article INTRODUCTION: When determining if changes on patient-reported outcome (PRO) scores in clinical trials convey a meaningful treatment benefit, statistical significance tests alone may not communicate the patient perspective. Appraising within-patient changes on PRO scores against established thresholds can determine if improvements or deteriorations experienced by individuals are meaningful. To evaluate the appropriateness of thresholds for interpreting meaningful improvements and deterioration within individuals on the European Organisation for Research and Treatment of Cancer (EORTC) 30-item core instrument (QLQ-C30) and 13-item lung cancer module (QLQ-LC13), a series of psychometric methods were applied to data from a phase III randomized controlled clinical trial in non-small cell lung cancer. METHODS: Anchor-based methods of empirical cumulative distribution functions and classification statistics were employed using change scores from Baseline to Week 7 using changes on the QLQ-C30 Global Health Status item as an anchor. Distribution-based methods of one-half standard deviation and standard error of measurement identified the minimum amount of change each domain score can reliably measure. RESULTS: While the correlations between the domain scores and the anchor item were modest in size (i.e., r ≥ 0.30 for only 5 of 24 domains), consideration of multiple methods along with the magnitude of possible step changes on the score allowed for patterns to emerge. The triangulation process planned a priori resulted in different methods being the source for different domain scores. Absolute values of the proposed thresholds ranged from 11.11 to 33.33, and all resulted in the same classifications for all EORTC domains, except QLQ-C30 Fatigue, as would the 10-point threshold that is traditionally used. CONCLUSION: This study confirms the appropriateness of the 10-point EORTC score threshold generally used by the field for interpreting within-patient changes, but the thresholds proposed from this study enhance interpretability by corresponding to only observable locations along the domain score scale. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40271-022-00584-w. Springer International Publishing 2022-06-30 2022 /pmc/articles/PMC9585005/ /pubmed/35771392 http://dx.doi.org/10.1007/s40271-022-00584-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research Article
Coon, Cheryl D.
Schlichting, Michael
Zhang, Xinke
Interpreting Within-Patient Changes on the EORTC QLQ-C30 and EORTC QLQ-LC13
title Interpreting Within-Patient Changes on the EORTC QLQ-C30 and EORTC QLQ-LC13
title_full Interpreting Within-Patient Changes on the EORTC QLQ-C30 and EORTC QLQ-LC13
title_fullStr Interpreting Within-Patient Changes on the EORTC QLQ-C30 and EORTC QLQ-LC13
title_full_unstemmed Interpreting Within-Patient Changes on the EORTC QLQ-C30 and EORTC QLQ-LC13
title_short Interpreting Within-Patient Changes on the EORTC QLQ-C30 and EORTC QLQ-LC13
title_sort interpreting within-patient changes on the eortc qlq-c30 and eortc qlq-lc13
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585005/
https://www.ncbi.nlm.nih.gov/pubmed/35771392
http://dx.doi.org/10.1007/s40271-022-00584-w
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