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Association between Statin Use and Cancer: Data Mining of a Spontaneous Reporting Database and a Claims Database
Purpose: In recent years, the potential risk of cancer associated with statin use has been a focus of much interest. However, it remains uncertain whether statin therapy is associated with cancer risk. To examine the association between statin use and the risk of cancer, we conducted data mining usi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4323360/ https://www.ncbi.nlm.nih.gov/pubmed/25678839 http://dx.doi.org/10.7150/ijms.10656 |
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author | Fujimoto, Mai Higuchi, Tomoya Hosomi, Kouichi Takada, Mitsutaka |
author_facet | Fujimoto, Mai Higuchi, Tomoya Hosomi, Kouichi Takada, Mitsutaka |
author_sort | Fujimoto, Mai |
collection | PubMed |
description | Purpose: In recent years, the potential risk of cancer associated with statin use has been a focus of much interest. However, it remains uncertain whether statin therapy is associated with cancer risk. To examine the association between statin use and the risk of cancer, we conducted data mining using the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) and a large organized database of claims constructed by a database vendor (The Japan Medical Data Center Co., Ltd, Tokyo, Japan [JMDC]). Methods: Relevant reports in the FAERS, which included data from the first quarter of 2004 through the end of 2012, were identified and analyzed. The reporting odds ratio (ROR) was used to detect spontaneous report signals and was calculated using the case/non-case method. Additionally, signals were detected via the information component (IC) using the IC025 metric. Furthermore, event sequence symmetry analysis (ESSA) was applied to identify the risk of cancer following treatment with statins over the period January 2005 to July 2013. Results: In the FAERS database analyses, significant signals for colorectal cancer and pancreatic cancer were found for statins as a class. In the ESSA, significant associations between statin use and colorectal cancer and pancreatic cancer were found, with adjusted sequence ratios (95% confidence intervals) of 1.20 (1.08-1.34) and 1.31 (1.13-1.53), respectively, at an interval of 48 months. Conclusions: Multi-methodological approaches using different algorithms and databases suggest that statin use is associated with an increased risk for colorectal cancer and pancreatic cancer. |
format | Online Article Text |
id | pubmed-4323360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-43233602015-02-12 Association between Statin Use and Cancer: Data Mining of a Spontaneous Reporting Database and a Claims Database Fujimoto, Mai Higuchi, Tomoya Hosomi, Kouichi Takada, Mitsutaka Int J Med Sci Research Paper Purpose: In recent years, the potential risk of cancer associated with statin use has been a focus of much interest. However, it remains uncertain whether statin therapy is associated with cancer risk. To examine the association between statin use and the risk of cancer, we conducted data mining using the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) and a large organized database of claims constructed by a database vendor (The Japan Medical Data Center Co., Ltd, Tokyo, Japan [JMDC]). Methods: Relevant reports in the FAERS, which included data from the first quarter of 2004 through the end of 2012, were identified and analyzed. The reporting odds ratio (ROR) was used to detect spontaneous report signals and was calculated using the case/non-case method. Additionally, signals were detected via the information component (IC) using the IC025 metric. Furthermore, event sequence symmetry analysis (ESSA) was applied to identify the risk of cancer following treatment with statins over the period January 2005 to July 2013. Results: In the FAERS database analyses, significant signals for colorectal cancer and pancreatic cancer were found for statins as a class. In the ESSA, significant associations between statin use and colorectal cancer and pancreatic cancer were found, with adjusted sequence ratios (95% confidence intervals) of 1.20 (1.08-1.34) and 1.31 (1.13-1.53), respectively, at an interval of 48 months. Conclusions: Multi-methodological approaches using different algorithms and databases suggest that statin use is associated with an increased risk for colorectal cancer and pancreatic cancer. Ivyspring International Publisher 2015-01-22 /pmc/articles/PMC4323360/ /pubmed/25678839 http://dx.doi.org/10.7150/ijms.10656 Text en © 2015 Ivyspring International Publisher. Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. See http://ivyspring.com/terms for terms and conditions. |
spellingShingle | Research Paper Fujimoto, Mai Higuchi, Tomoya Hosomi, Kouichi Takada, Mitsutaka Association between Statin Use and Cancer: Data Mining of a Spontaneous Reporting Database and a Claims Database |
title | Association between Statin Use and Cancer: Data Mining of a Spontaneous Reporting Database and a Claims Database |
title_full | Association between Statin Use and Cancer: Data Mining of a Spontaneous Reporting Database and a Claims Database |
title_fullStr | Association between Statin Use and Cancer: Data Mining of a Spontaneous Reporting Database and a Claims Database |
title_full_unstemmed | Association between Statin Use and Cancer: Data Mining of a Spontaneous Reporting Database and a Claims Database |
title_short | Association between Statin Use and Cancer: Data Mining of a Spontaneous Reporting Database and a Claims Database |
title_sort | association between statin use and cancer: data mining of a spontaneous reporting database and a claims database |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4323360/ https://www.ncbi.nlm.nih.gov/pubmed/25678839 http://dx.doi.org/10.7150/ijms.10656 |
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