Please use this identifier to cite or link to this item:
https://doi.org/10.1155/2013/358285
DC Field | Value | |
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dc.title | Disruptions in liver function among cancer patients and patients treated with tyrosine kinase inhibiting drugs: Comparisons of two population-based databases | |
dc.contributor.author | Landis, S.H | |
dc.contributor.author | Nordstrom, B.L | |
dc.contributor.author | Sansbury, L.B | |
dc.contributor.author | Shantakumar, S | |
dc.contributor.author | Laurent, S.A.S | |
dc.contributor.author | Fraeman, K.H | |
dc.contributor.author | Nelson, J.J | |
dc.date.accessioned | 2020-10-28T07:22:23Z | |
dc.date.available | 2020-10-28T07:22:23Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Landis, 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.issn | 16878558 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/181816 | |
dc.description.abstract | Liver 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.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Unpaywall 20201031 | |
dc.subject | dasatinib | |
dc.subject | erlotinib | |
dc.subject | gefitinib | |
dc.subject | imatinib | |
dc.subject | lapatinib | |
dc.subject | nilotinib | |
dc.subject | adult | |
dc.subject | article | |
dc.subject | cancer patient | |
dc.subject | drug exposure | |
dc.subject | electronic medical record | |
dc.subject | female | |
dc.subject | health insurance | |
dc.subject | human | |
dc.subject | liver dysfunction | |
dc.subject | major clinical study | |
dc.subject | male | |
dc.subject | priority journal | |
dc.type | Article | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.description.doi | 10.1155/2013/358285 | |
dc.description.sourcetitle | Journal of Cancer Epidemiology | |
dc.description.volume | 2013 | |
dc.description.page | 358285 | |
Appears in Collections: | Staff Publications Elements |
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