TY - JOUR
T1 - Development of a web-based system for exploring cancer risk with long-term use of drugs
T2 - Logistic regression approach
AU - Yang, Hsuan Chia
AU - Islam, Mohaimenul
AU - Alex Nguyen, Phung Anh
AU - Wang, Ching Huan
AU - Poly, Tahmina Nasrin
AU - Huang, Chih Wei
AU - Jack Li, Yu Chuan
N1 - Funding Information:
This research is sponsored in part by the Ministry of Science and Technology (grant number: MOST 109-2222-E-038-002-MY2), the Ministry of Education (grant number: MOE 109-6604-001-400), and Taipei Medical University (grant number: TMU107-AE1-B18).
Publisher Copyright:
© Hsuan-Chia Yang, Md Mohaimenul Islam, Phung Anh Alex Nguyen, Ching-Huan Wang, Tahmina Nasrin Poly, Chih-Wei Huang, Yu-Chuan Jack Li.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/2
Y1 - 2021/2
N2 - Background: Existing epidemiological evidence regarding the association between the long-term use of drugs and cancer risk remains controversial. Objective: We aimed to have a comprehensive view of the cancer risk of the long-term use of drugs. Methods: 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. Results: 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<.05, P<.01, P<.001, and P<.0001, respectively. Benzodiazepine derivatives were associated with an increased risk of brain cancer (adjusted odds ratio [AOR] 1.379, 95% CI 1.138-1.670; P=.001). Statins were associated with a reduced risk of liver cancer (AOR 0.470, 95% CI 0.426-0.517; P<.0001) and gastric cancer (AOR 0.781, 95% CI 0.678-0.900; P<.001). Our web-based system, which collected comprehensive data of associations, contained 2 domains: (1) the drug and cancer association page and (2) the overview page. Conclusions: Our web-based system provides an overview of comprehensive quantified data of drug-cancer associations. With all the quantified data visualized, the system is expected to facilitate further research on cancer risk and prevention, potentially serving as a stepping-stone to consulting and exploring associations between the long-term use of drugs and cancer risk.
AB - Background: Existing epidemiological evidence regarding the association between the long-term use of drugs and cancer risk remains controversial. Objective: We aimed to have a comprehensive view of the cancer risk of the long-term use of drugs. Methods: 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. Results: 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<.05, P<.01, P<.001, and P<.0001, respectively. Benzodiazepine derivatives were associated with an increased risk of brain cancer (adjusted odds ratio [AOR] 1.379, 95% CI 1.138-1.670; P=.001). Statins were associated with a reduced risk of liver cancer (AOR 0.470, 95% CI 0.426-0.517; P<.0001) and gastric cancer (AOR 0.781, 95% CI 0.678-0.900; P<.001). Our web-based system, which collected comprehensive data of associations, contained 2 domains: (1) the drug and cancer association page and (2) the overview page. Conclusions: Our web-based system provides an overview of comprehensive quantified data of drug-cancer associations. With all the quantified data visualized, the system is expected to facilitate further research on cancer risk and prevention, potentially serving as a stepping-stone to consulting and exploring associations between the long-term use of drugs and cancer risk.
KW - Cancer
KW - Chemoprevention
KW - Drug
KW - Epidemiology
KW - Long-term–use drugs
KW - Modeling
KW - Prevention
KW - Risk
KW - Temporal model
KW - Web-based system
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U2 - 10.2196/21401
DO - 10.2196/21401
M3 - Article
C2 - 33587043
AN - SCOPUS:85101452366
SN - 2369-2960
VL - 7
SP - e21401
JO - JMIR Public Health and Surveillance
JF - JMIR Public Health and Surveillance
IS - 2
M1 - e21401
ER -
