Development of a Web-Based System for Exploring Cancer Risk With Long-term Use of Drugs: Logistic Regression Approach

Existing epidemiological evidence regarding the association between the long-term use of drugs and cancer risk remains controversial. We aimed to have a comprehensive view of the cancer risk of the long-term use of drugs. A nationwide population-based, nested, case-control study was conducted within...

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Bibliographic Details
Published in:JMIR public health and surveillance 2021-02, Vol.7 (2), p.e21401-e21401
Main Authors: Yang, Hsuan-Chia, Islam, Md Mohaimenul, Nguyen, Phung Anh Alex, Wang, Ching-Huan, Poly, Tahmina Nasrin, Huang, Chih-Wei, Li, Yu-Chuan Jack
Format: Article
Language:English
Subjects:
Age
Anesthesia
Antihypertensives
Brain cancer
Breast cancer
Cancer therapies
Colorectal cancer
Diabetes
Disease
Health administration
Health insurance
Health risks
Health surveillance
Investigations
Liver cancer
Medical diagnosis
Nonsteroidal anti-inflammatory drugs
Original Paper
Prescription drugs
Public health
Risk reduction
Skin cancer
Statins
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Summary:Existing epidemiological evidence regarding the association between the long-term use of drugs and cancer risk remains controversial. We aimed to have a comprehensive view of the cancer risk of the long-term use of drugs. A 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. There 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
ISSN:2369-2960
2369-2960
DOI:10.2196/21401