Please use this identifier to cite or link to this item: https://doi.org/10.1155/2013/358285
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dc.titleDisruptions in liver function among cancer patients and patients treated with tyrosine kinase inhibiting drugs: Comparisons of two population-based databases
dc.contributor.authorLandis, S.H
dc.contributor.authorNordstrom, B.L
dc.contributor.authorSansbury, L.B
dc.contributor.authorShantakumar, S
dc.contributor.authorLaurent, S.A.S
dc.contributor.authorFraeman, K.H
dc.contributor.authorNelson, J.J
dc.date.accessioned2020-10-28T07:22:23Z
dc.date.available2020-10-28T07:22:23Z
dc.date.issued2013
dc.identifier.citationLandis, S.H, Nordstrom, B.L, Sansbury, L.B, Shantakumar, S, Laurent, S.A.S, Fraeman, K.H, Nelson, J.J (2013). Disruptions in liver function among cancer patients and patients treated with tyrosine kinase inhibiting drugs: Comparisons of two population-based databases. Journal of Cancer Epidemiology 2013 : 358285. ScholarBank@NUS Repository. https://doi.org/10.1155/2013/358285
dc.identifier.issn16878558
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/181816
dc.description.abstractLiver toxicity is a recognized adverse event associated with small molecule tyrosine kinase inhibitors (TKIs). Electronic Medical Record (EMR) databases offer the most precise data to investigate the rate of liver function test (LFT) elevations; however, they can be limited in sample size and costly to access and analyze. Health insurance claims databases often contain larger samples sizes but may lack key health information. We evaluated the feasibility of utilizing a large claims database to calculate incidence rates (IRs) of LFT elevations among a general cohort of cancer patients and a cohort of patients treated with TKIs by comparing the results to a "gold standard" oncology-specific EMR database. IRs for the TKI cohorts were very similar between the two databases; however, IRs were higher in the EMR database for the cancer cohorts. Possible explanations for these differences include lack of specificity when defining a cancer case, poor capture of laboratory data, or inaccurate assessment of person-time in the insurance claims database. This study suggests that insurance claims data may provide reliable results when investigating liver toxicities associated with oncology drug exposure; however, there are limitations when assessing laboratory outcomes for cohorts defined solely by disease status. © 2013 Sarah H. Landis et al.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectdasatinib
dc.subjecterlotinib
dc.subjectgefitinib
dc.subjectimatinib
dc.subjectlapatinib
dc.subjectnilotinib
dc.subjectadult
dc.subjectarticle
dc.subjectcancer patient
dc.subjectdrug exposure
dc.subjectelectronic medical record
dc.subjectfemale
dc.subjecthealth insurance
dc.subjecthuman
dc.subjectliver dysfunction
dc.subjectmajor clinical study
dc.subjectmale
dc.subjectpriority journal
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1155/2013/358285
dc.description.sourcetitleJournal of Cancer Epidemiology
dc.description.volume2013
dc.description.page358285
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