Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/11473
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dc.contributor.authorGan, Hui Ken
dc.contributor.authorYou, Benoiten
dc.contributor.authorPond, Gregory Ren
dc.contributor.authorChen, Eric Xen
dc.date.accessioned2015-05-16T01:05:06Z
dc.date.available2015-05-16T01:05:06Z
dc.date.issued2012-04-06en
dc.identifier.citationJournal of the National Cancer Institute 2012; 104(8): 590-8en
dc.identifier.govdoc22491345en
dc.identifier.otherPUBMEDen
dc.identifier.urihttp://ahro.austin.org.au/austinjspui/handle/1/11473en
dc.description.abstractIn designing phase III randomized clinical trials (RCTs), the expected magnitude of the benefit of the experimental therapy (δ) determines the number of patients required and the number of person-years of follow-up. We conducted a systematic review to evaluate how reliably δ approximates the observed benefit (B) in RCTs that evaluated cancer treatment.RCTs evaluating systemic therapy in adult cancer patients published in 10 journals from January 1, 2005, through December 31, 2009, were identified. Data were extracted from each publication independently by two investigators. The related-samples Sign test was used to determine whether the median difference between δ and B was statistically significant in different study subsets and was two-sided.A total of 253 RCTs met the eligibility criteria and were included in the analysis. Regardless of whether benefit was defined as proportional change (median difference between δ and B = -13.0%, 95% confidence interval [CI] = -21.0% to -8.0%), absolute change (median difference between δ and B = -8.0%, 95% CI = -9.9% to -5.1%), or median increase in a time-to-event endpoint (median difference between δ and B = -1.4 months, 95% CI = -2.1 to -0.8 months), δ was consistently and statistically significantly larger than B (P < .001, for each, respectively). This relationship between δ and B was independent of year of publication, industry funding, management by cooperative trial groups, type of control arm, type of experimental arm, disease site, adjuvant treatment, or treatment for advanced disease, and likely contributed to the high proportion of negative RCTs (158 [62.5%] of 253 studies).Investigators consistently make overly optimistic assumptions regarding treatment benefits when designing RCTs. Attempts to reduce the number of negative RCTs should focus on more realistic estimations of δ. Increased use of interim analyses, certain adaptive trial designs, and better biological characterization of patients are potential ways of mitigating this problem.en
dc.language.isoenen
dc.subject.otherAntineoplastic Agents.therapeutic useen
dc.subject.otherClinical Trials, Phase III as Topicen
dc.subject.otherHumansen
dc.subject.otherNeoplasms.drug therapyen
dc.subject.otherPublication Biasen
dc.subject.otherRandomized Controlled Trials as Topicen
dc.subject.otherResearch Designen
dc.subject.otherTreatment Failureen
dc.subject.otherTreatment Outcomeen
dc.titleAssumptions of expected benefits in randomized phase III trials evaluating systemic treatments for cancer.en
dc.typeJournal Articleen
dc.identifier.journaltitleJournal of the National Cancer Instituteen
dc.identifier.affiliationJoint Austin-Ludwig Medical Oncology Unit, Austin Hospital, Melbourne, Victoria, Australiaen
dc.identifier.doi10.1093/jnci/djs141en
dc.description.pages590-8en
dc.relation.urlhttps://pubmed.ncbi.nlm.nih.gov/22491345en
dc.type.austinJournal Articleen
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeJournal Article-
crisitem.author.deptMedical Oncology-
crisitem.author.deptOlivia Newton-John Cancer Wellness and Research Centre-
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