학술논문

Development of a Web-Based System for Exploring Cancer Risk With Long-term Use of Drugs: Logistic Regression Approach
Document Type
article
Source
JMIR Public Health and Surveillance, Vol 7, Iss 2, p e21401 (2021)
Subject
Public aspects of medicine
RA1-1270
Language
English
ISSN
2369-2960
Abstract
BackgroundExisting epidemiological evidence regarding the association between the long-term use of drugs and cancer risk remains controversial. ObjectiveWe aimed to have a comprehensive view of the cancer risk of the long-term use of drugs. MethodsA nationwide population-based, nested, case-control study was conducted within the National Health Insurance Research Database sample cohort of 1999 to 2013 in Taiwan. We identified cases in adults aged 20 years and older who were receiving treatment for at least two months before the index date. We randomly selected control patients from the patients without a cancer diagnosis during the 15 years (1999-2013) of the study period. Case and control patients were matched 1:4 based on age, sex, and visit date. Conditional logistic regression was used to estimate the association between drug exposure and cancer risk by adjusting potential confounders such as drugs and comorbidities. ResultsThere were 79,245 cancer cases and 316,980 matched controls included in this study. Of the 45,368 associations, there were 2419, 1302, 662, and 366 associations found statistically significant at a level of P