Literature DB >> 35771392

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

Cheryl D Coon1, Michael Schlichting2, Xinke Zhang3.   

Abstract

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.
© 2022. The Author(s).

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Year:  2022        PMID: 35771392      PMCID: PMC9585005          DOI: 10.1007/s40271-022-00584-w

Source DB:  PubMed          Journal:  Patient        ISSN: 1178-1653            Impact factor:   3.481


  18 in total

1.  Further evidence supporting an SEM-based criterion for identifying meaningful intra-individual changes in health-related quality of life.

Authors:  K W Wyrwich; W M Tierney; F D Wolinsky
Journal:  J Clin Epidemiol       Date:  1999-09       Impact factor: 6.437

Review 2.  Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes.

Authors:  Dennis Revicki; Ron D Hays; David Cella; Jeff Sloan
Journal:  J Clin Epidemiol       Date:  2007-08-03       Impact factor: 6.437

3.  A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

Authors:  Terry K Koo; Mae Y Li
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4.  Moving from significance to real-world meaning: methods for interpreting change in clinical outcome assessment scores.

Authors:  Cheryl D Coon; Karon F Cook
Journal:  Qual Life Res       Date:  2017-06-15       Impact factor: 4.147

5.  Minimal important differences for interpreting health-related quality of life scores from the EORTC QLQ-C30 in lung cancer patients participating in randomized controlled trials.

Authors:  John T Maringwa; Chantal Quinten; Madeleine King; Jolie Ringash; David Osoba; Corneel Coens; Francesca Martinelli; Jurgen Vercauteren; Charles S Cleeland; Henning Flechtner; Carolyn Gotay; Eva Greimel; Martin J Taphoorn; Bryce B Reeve; Joseph Schmucker-Von Koch; Joachim Weis; Egbert F Smit; Jan P van Meerbeeck; Andrew Bottomley
Journal:  Support Care Cancer       Date:  2010-10-01       Impact factor: 3.603

6.  Interpreting the significance of changes in health-related quality-of-life scores.

Authors:  D Osoba; G Rodrigues; J Myles; B Zee; J Pater
Journal:  J Clin Oncol       Date:  1998-01       Impact factor: 44.544

Review 7.  The interpretation of scores from the EORTC quality of life questionnaire QLQ-C30.

Authors:  M T King
Journal:  Qual Life Res       Date:  1996-12       Impact factor: 4.147

8.  Minimally important differences of EORTC QLQ-C30 scales in patients with lung cancer or malignant pleural mesothelioma - Interpretation guidance derived from two randomized EORTC trials.

Authors:  Michael Koller; Jammbe Z Musoro; Krzysztof Tomaszewski; Corneel Coens; Madeleine T King; Mirjam A G Sprangers; Mogens Groenvold; Kim Cocks; Galina Velikova; Hans-Henning Flechtner; Andrew Bottomley
Journal:  Lung Cancer       Date:  2022-03-29       Impact factor: 5.705

9.  The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology.

Authors:  N K Aaronson; S Ahmedzai; B Bergman; M Bullinger; A Cull; N J Duez; A Filiberti; H Flechtner; S B Fleishman; J C de Haes
Journal:  J Natl Cancer Inst       Date:  1993-03-03       Impact factor: 13.506

10.  Avelumab versus docetaxel in patients with platinum-treated advanced non-small-cell lung cancer (JAVELIN Lung 200): an open-label, randomised, phase 3 study.

Authors:  Fabrice Barlesi; Johan Vansteenkiste; David Spigel; Hidenobu Ishii; Marina Garassino; Filippo de Marinis; Mustafa Özgüroğlu; Aleksandra Szczesna; Andreas Polychronis; Ruchan Uslu; Maciej Krzakowski; Jong-Seok Lee; Luana Calabrò; Osvaldo Arén Frontera; Barbara Ellers-Lenz; Marcis Bajars; Mary Ruisi; Keunchil Park
Journal:  Lancet Oncol       Date:  2018-09-24       Impact factor: 41.316

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