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dc.contributor.authorWarner, Jeremyen_US
dc.contributor.authorYang, Peteren_US
dc.contributor.authorAlterovitz, Gilen_US
dc.date.accessioned2014-07-07T17:03:59Z
dc.date.issued2013en_US
dc.identifier.citationWarner, Jeremy, Peter Yang, and Gil Alterovitz. 2013. “Automated Synthesis and Visualization of a Chemotherapy Treatment Regimen Network.” Studies in health technology and informatics 192 (1): 62-66.en
dc.identifier.issn0926-9630en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:12406762
dc.description.abstractCytotoxic treatments for cancer remain highly toxic, expensive, and variably efficacious. Many chemotherapy regimens are never directly compared in randomized clinical trials (RCTs); as a result, the vast majority of guideline recommendations are ultimately derived from human expert opinion. We introduce an automated network meta-analytic approach to this clinical problem, with nodes representing regimens and edges direct comparison via RCT(s). A chemotherapy regimen network is visualized for the primary treatment of chronic myelogenous leukemia (CML). Node and edge color, size, and opacity are all utilized to provide additional information about the quality and strength of the depicted evidence. Historical versions of the network are also created. With this approach, we were able to compactly compare the results of 17 CML regimens involving RCTs of 9700 patients, representing the accumulation of 45 years of evidence. Our results closely parallel the recommendations issued by a professional guidelines organization, the National Comprehensive Cancer Network (NCCN). This approach offers a novel method for interpreting complex clinical data, with potential implications for future objective guideline development.en
dc.language.isoen_USen
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4075319/pdf/en
dash.licenseLAAen_US
dc.subjectComputing methodologiesen
dc.subjectNumerical Analysisen
dc.subjectComputer-Assisteden
dc.subjectData Interpretationen
dc.subjectStatisticalen
dc.subjectMedical Informatics Applicationsen
dc.titleAutomated Synthesis and Visualization of a Chemotherapy Treatment Regimen Networken
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalStudies in health technology and informaticsen
dash.depositing.authorYang, Peteren_US
dc.date.available2014-07-07T17:03:59Z
dash.contributor.affiliatedYang, Peter
dash.contributor.affiliatedAlterovitz, Gil


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