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How comparable are patient outcomes in the 'real-world' with populations studied in pivotal AML trials?

Authors :
Ing Soo Tiong
Meaghan Wall
Ashish Bajel
Akash Kalro
Shaun Fleming
Andrew W. Roberts
Nisha Thiagarajah
Chong Chyn Chua
Maya Latimer
David Yeung
Paula Marlton
Amanda Johnston
Anoop Enjeti
Chun Yew Fong
Gavin Cull
Stephen Larsen
Glen Kennedy
Anthony Schwarer
David Kipp
Sundra Ramanathan
Emma Verner
Campbell Tiley
Edward Morris
Uwe Hahn
John Moore
John Taper
Duncan Purtill
Pauline Warburton
William Stevenson
Nicholas Murphy
Peter Tan
Ashanka Beligaswatte
Howard Mutsando
Mark Hertzberg
Jake Shortt
Ferenc Szabo
Karin Dunne
Andrew H. Wei
Australasian Leukaemia and Lymphoma Group (ALLG)
Source :
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-11 (2024)
Publication Year :
2024
Publisher :
Nature Publishing Group, 2024.

Abstract

Abstract Despite an increasing desire to use historical cohorts as “synthetic” controls for new drug evaluation, limited data exist regarding the comparability of real-world outcomes to those in clinical trials. Governmental cancer data often lacks details on treatment, response, and molecular characterization of disease sub-groups. The Australasian Leukaemia and Lymphoma Group National Blood Cancer Registry (ALLG NBCR) includes source information on morphology, cytogenetics, flow cytometry, and molecular features linked to treatment received (including transplantation), response to treatment, relapse, and survival outcome. Using data from 942 AML patients enrolled between 2012–2018, we assessed age and disease-matched control and interventional populations from published randomized trials that led to the registration of midostaurin, gemtuzumab ozogamicin, CPX-351, oral azacitidine, and venetoclax. Our analyses highlight important differences in real-world outcomes compared to clinical trial populations, including variations in anthracycline type, cytarabine intensity and scheduling during consolidation, and the frequency of allogeneic hematopoietic cell transplantation in first remission. Although real-world outcomes were comparable to some published studies, notable differences were apparent in others. If historical datasets were used to assess the impact of novel therapies, this work underscores the need to assess diverse datasets to enable geographic differences in treatment outcomes to be accounted for.

Details

Language :
English
ISSN :
20445385
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Blood Cancer Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.8934e2c0d348469ca8fbc945fd4e9089
Document Type :
article
Full Text :
https://doi.org/10.1038/s41408-024-00996-x