Review of patient-reported outcomes in multiple myeloma registrational trials: highlighting areas for improvement.
Journal
Blood cancer journal
ISSN: 2044-5385
Titre abrégé: Blood Cancer J
Pays: United States
ID NLM: 101568469
Informations de publication
Date de publication:
31 08 2021
31 08 2021
Historique:
received:
07
06
2021
accepted:
17
08
2021
revised:
10
08
2021
entrez:
1
9
2021
pubmed:
2
9
2021
medline:
3
2
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34465728
doi: 10.1038/s41408-021-00543-y
pii: 10.1038/s41408-021-00543-y
pmc: PMC8408214
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
148Informations de copyright
© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.
Références
Eur J Haematol. 2011 Oct;87(4):330-7
pubmed: 21668504
Leukemia. 2009 Nov;23(11):2147-52
pubmed: 19626046
J Clin Oncol. 2012 Sep 10;30(26):3297-303
pubmed: 22649133
N Engl J Med. 2012 Oct 4;367(14):1355-60
pubmed: 23034025
Qual Life Res. 2016 Dec;25(12):2977-2983
pubmed: 27650288
Value Health. 2018 Jun;21(6):742-747
pubmed: 29909880
Clin Cancer Res. 2016 Apr 1;22(7):1553-8
pubmed: 26758559
Lancet Oncol. 2019 Oct;20(10):e582-e589
pubmed: 31579004
Stat Med. 1998 Mar 15-Apr 15;17(5-7):725-37
pubmed: 9549819
JAMA. 2018 Feb 6;319(5):483-494
pubmed: 29411037
J Clin Oncol. 2011 Jan 1;29(1):89-96
pubmed: 21098316
Lancet Haematol. 2020 Dec;7(12):e892-e901
pubmed: 33242446
Eur J Cancer. 2005 Jan;41(2):280-7
pubmed: 15661554
Stat Methods Med Res. 2014 Oct;23(5):440-59
pubmed: 23427225
Eur J Haematol. 2012 Jul;89(1):16-27
pubmed: 22469559
J Natl Cancer Inst. 2019 May 1;111(5):449-458
pubmed: 30085269
Asia Pac J Clin Oncol. 2014 Jun;10(2):109-17
pubmed: 23551530
Lancet Oncol. 2020 Oct;21(10):e488-e494
pubmed: 33002444
Value Health. 2007 Nov-Dec;10 Suppl 2:S106-15
pubmed: 17995469
Stat Methods Med Res. 2004 Apr;13(2):115-38
pubmed: 15068257
Gynecol Oncol. 2006 May;101(2):296-304
pubmed: 16376417