Please use this identifier to cite or link to this item: https://hdl.handle.net/1/2580
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dc.contributor.authorTiong, Ing Soo-
dc.contributor.authorWall, Meaghan-
dc.contributor.authorBajel, Ashish-
dc.contributor.authorKalro, Akash-
dc.contributor.authorFleming, Shaun-
dc.contributor.authorRoberts, Andrew W-
dc.contributor.authorThiagarajah, Nisha-
dc.contributor.authorChua, Chong Chyn-
dc.contributor.authorLatimer, Maya-
dc.contributor.authorYeung, David-
dc.contributor.authorMarlton, Paula-
dc.contributor.authorJohnston, Amanda-
dc.contributor.authorEnjeti, Anoop-
dc.contributor.authorFong, Chun Yew-
dc.contributor.authorCull, Gavin-
dc.contributor.authorLarsen, Stephen-
dc.contributor.authorKennedy, Glen-
dc.contributor.authorSchwarer, Anthony-
dc.contributor.authorKipp, David-
dc.contributor.authorRamanathan, Sundra-
dc.contributor.authorVerner, Emma-
dc.contributor.authorTiley, Campbell-
dc.contributor.authorMorris, Edward-
dc.contributor.authorHahn, Uwe-
dc.contributor.authorMoore, John-
dc.contributor.authorTaper, John-
dc.contributor.authorPurtill, Duncan-
dc.contributor.authorWarburton, Pauline-
dc.contributor.authorStevenson, William-
dc.contributor.authorMurphy, Nicholas J-
dc.contributor.authorTan, Peter-
dc.contributor.authorBeligaswatte, Ashanka-
dc.contributor.authorMutsando, Howard-
dc.contributor.authorHertzberg, Mark-
dc.contributor.authorShortt, Jake-
dc.contributor.authorSzabo, Ferenc-
dc.contributor.authorDunne, Karin-
dc.contributor.authorWei, Andrew H-
dc.date.accessioned2024-04-24T04:24:00Z-
dc.date.available2024-04-24T04:24:00Z-
dc.date.issued2024-03-26-
dc.identifier.citation14(1):54en
dc.identifier.urihttps://hdl.handle.net/1/2580-
dc.description.abstractDespite 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.en
dc.description.sponsorshipHaematologyen
dc.subjectHaematologyen
dc.subjectHematologyen
dc.subjectCanceren
dc.titleHow comparable are patient outcomes in the "real-world" with populations studied in pivotal AML trials?en
dc.typeJournal Articleen
dc.identifier.doi10.1038/s41408-024-00996-xen
dc.description.pubmedurihttps://pubmed.ncbi.nlm.nih.gov/38531863en
dc.description.affiliatesCentral Coast Local Health Districten
dc.description.affiliatesGosford Hospitalen
dc.identifier.journaltitleBlood Cancer Journalen
dc.type.contentTexten
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
item.cerifentitytypePublications-
crisitem.author.deptHaematology-
Appears in Collections:Haematology
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