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Disruptions in Liver Function among Cancer Patients and Patients Treated with Tyrosine Kinase Inhibiting Drugs: Comparisons of Two Population-Based Databases
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3654350/ https://www.ncbi.nlm.nih.gov/pubmed/23710179 http://dx.doi.org/10.1155/2013/358285 |
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author | Landis, Sarah H. Nordstrom, Beth L. Sansbury, Leah B. Shantakumar, Sumitra Laurent, Samantha A. St. Fraeman, Kathy H. Nelson, Jeanenne J. |
author_facet | Landis, Sarah H. Nordstrom, Beth L. Sansbury, Leah B. Shantakumar, Sumitra Laurent, Samantha A. St. Fraeman, Kathy H. Nelson, Jeanenne J. |
author_sort | Landis, Sarah H. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3654350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-36543502013-05-24 Disruptions in Liver Function among Cancer Patients and Patients Treated with Tyrosine Kinase Inhibiting Drugs: Comparisons of Two Population-Based Databases Landis, Sarah H. Nordstrom, Beth L. Sansbury, Leah B. Shantakumar, Sumitra Laurent, Samantha A. St. Fraeman, Kathy H. Nelson, Jeanenne J. J Cancer Epidemiol Research Article 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. Hindawi Publishing Corporation 2013 2013-04-21 /pmc/articles/PMC3654350/ /pubmed/23710179 http://dx.doi.org/10.1155/2013/358285 Text en Copyright © 2013 Sarah H. Landis et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Landis, Sarah H. Nordstrom, Beth L. Sansbury, Leah B. Shantakumar, Sumitra Laurent, Samantha A. St. Fraeman, Kathy H. Nelson, Jeanenne J. Disruptions in Liver Function among Cancer Patients and Patients Treated with Tyrosine Kinase Inhibiting Drugs: Comparisons of Two Population-Based Databases |
title | Disruptions in Liver Function among Cancer Patients and Patients Treated with Tyrosine Kinase Inhibiting Drugs: Comparisons of Two Population-Based Databases |
title_full | Disruptions in Liver Function among Cancer Patients and Patients Treated with Tyrosine Kinase Inhibiting Drugs: Comparisons of Two Population-Based Databases |
title_fullStr | Disruptions in Liver Function among Cancer Patients and Patients Treated with Tyrosine Kinase Inhibiting Drugs: Comparisons of Two Population-Based Databases |
title_full_unstemmed | Disruptions in Liver Function among Cancer Patients and Patients Treated with Tyrosine Kinase Inhibiting Drugs: Comparisons of Two Population-Based Databases |
title_short | Disruptions in Liver Function among Cancer Patients and Patients Treated with Tyrosine Kinase Inhibiting Drugs: Comparisons of Two Population-Based Databases |
title_sort | disruptions in liver function among cancer patients and patients treated with tyrosine kinase inhibiting drugs: comparisons of two population-based databases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3654350/ https://www.ncbi.nlm.nih.gov/pubmed/23710179 http://dx.doi.org/10.1155/2013/358285 |
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