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      Review of patient-reported outcomes in multiple myeloma registrational trials: highlighting areas for improvement

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          Abstract

          Over the past 13 years, there have been advances in characterizing the patient experience in oncology trials, primarily using patient-reported outcomes (PROs). This review aims to provide details on the PRO measures and analyses used in multiple myeloma (MM) registrational trials. We identified registrational trials supporting MM indications from 2007 to 2020 from FDA databases. Trial protocols, statistical analysis plans, and clinical study reports were reviewed for PRO measures used, collection methods, statistical analyses, baseline and instrument completion definitions, and thresholds for clinical meaningfulness. Twenty-five trials supporting 20 MM indications were identified; 17 (68%) contained submitted PRO data. Of the 17 trials, 14 were randomized controlled trials and the remainder were single-arm trials. All but one trial were open label trials. Seven trials collected data electronically and five in paper format. The majority of trials evaluated at least two PRO measures (82%) with two trials (12%) utilizing four measures. Nine unique PRO measures were used, most commonly the EORTC QLQ-30 (87%), EQ-5D (65%), and QLQ-MY20 (47%). All 17 (100%) trials provided descriptive summaries, 10 (59%) carried out longitudinal mixed model analysis, 9 (53%) conducted responder analysis, and 2 (12%) did a basic inferential test. We noted substantial heterogeneity in terms of PRO collection methods, measures, definitions, and analyses, which may hinder the ability to effectively capture and interpret patient experience in future MM clinical trials. Further research is needed to determine the most appropriate approaches for statistical and analytical methodologies for PRO data in MM trials.

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          Guidelines for Inclusion of Patient-Reported Outcomes in Clinical Trial Protocols

          Patient-reported outcome (PRO) data from clinical trials can provide valuable evidence to inform shared decision making, labeling claims, clinical guidelines, and health policy; however, the PRO content of clinical trial protocols is often suboptimal. The SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) statement was published in 2013 and aims to improve the completeness of trial protocols by providing evidence-based recommendations for the minimum set of items to be addressed, but it does not provide PRO-specific guidance.
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            The prevention and treatment of missing data in clinical trials.

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              Evidence-based guidelines for determination of sample size and interpretation of the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire Core 30.

              PURPOSE; To use published literature to estimate large, medium, and small differences in quality of life (QOL) data from the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30). An innovative method combining systematic review of published studies, expert opinions, and meta-analysis was used to estimate large, medium, and small differences for QLQ-C30 scores. Published mean data were identified from the literature. Differences (contrasts) between groups (eg, between treatment groups, age groups, and performance status groups) were reviewed by 34 experts in QOL measurement and cancer treatment. The experts, blinded to actual QOL results, were asked to predict these differences. A large difference was defined as one representing unequivocal clinical relevance. A medium difference was defined as likely to be clinically relevant but to a lesser extent. A small difference was one believed to be subtle but nevertheless clinically relevant. A trivial difference was used to describe circumstances unlikely to have any clinical relevance. Actual QOL results were combined using meta-analytic techniques to estimate differences corresponding to small, medium, or large effects. Nine hundred eleven articles were identified, leading to 152 relevant articles (2,217 contrasts) being reviewed by at least two experts. Resulting estimates from the meta-analysis varied depending on the subscale. Thus, the recommended minimum to detect medium differences ranges from 9 (cognitive functioning) to 19 points (role functioning). Guidelines for the size of effects are provided for the QLQ-C30 subscales. These guidelines can be used for sample size calculations for clinical trials and can also be used to aid interpretation of differences in QLQ-C30 scores.
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                Author and article information

                Contributors
                laura.l.fernandes@gmail.com
                Journal
                Blood Cancer J
                Blood Cancer J
                Blood Cancer Journal
                Nature Publishing Group UK (London )
                2044-5385
                31 August 2021
                31 August 2021
                August 2021
                : 11
                : 8
                : 148
                Affiliations
                [1 ]GRID grid.417587.8, ISNI 0000 0001 2243 3366, Division of Biometrics IX, Center for Drug Evaluation and Research, , U.S. Food and Drug Administration, ; Silver Spring, MD USA
                [2 ]GRID grid.417587.8, ISNI 0000 0001 2243 3366, Division of Hematologic Malignancies II, Center for Drug Evaluation and Research, , U.S. Food and Drug Administration, ; Silver Spring, MD USA
                [3 ]GRID grid.417587.8, ISNI 0000 0001 2243 3366, Oncology Center of Excellence, , U.S. Food and Drug Administration, ; Silver Spring, MD USA
                Author information
                http://orcid.org/0000-0002-5986-3885
                Article
                543
                10.1038/s41408-021-00543-y
                8408214
                34465728
                e4ed95f8-9068-44df-b560-15400b8d38bb
                © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021

                Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 June 2021
                : 10 August 2021
                : 17 August 2021
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Oncology & Radiotherapy
                drug development,quality of life,myeloma,biostatistics
                Oncology & Radiotherapy
                drug development, quality of life, myeloma, biostatistics

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