Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Yang HC

PROVIDER: S-EPMC7920756 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Yang Hsuan-Chia HC Islam Md Mohaimenul MM Nguyen Phung Anh Alex PAA Wang Ching-Huan CH Poly Tahmina Nasrin TN Huang Chih-Wei CW Li Yu-Chuan Jack YJ

JMIR public health and surveillance 20210215 2

<h4>Background</h4>Existing epidemiological evidence regarding the association between the long-term use of drugs and cancer risk remains controversial.<h4>Objective</h4>We aimed to have a comprehensive view of the cancer risk of the long-term use of drugs.<h4>Methods</h4>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 w ...[more]

PMID: 33587043

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Project description:An increase in gastric mucosal lesions due to nonsteroidal antiinflammatory drugs (NSAIDs) has been reported along with the aging of society; even orthopedic surgeons can no longer remain unconcerned about this disease. However, no study has accurately examined the incidence of gastric mucosal lesions; therefore, adequate evidence has not been established. In this study, endoscopic examinations were performed to determine the status of gastric mucosal lesions in patients receiving long-term NSAID therapy.In 261 patients receiving NSAIDs other than aspirin for more than 28 days, excluding external application, upper gastrointestinal endoscopy was performed regardless of any subjective symptoms after obtaining the patient's medical history. The severity of the gastric mucosal lesions was evaluated using the modified Lanza score. Patient factors involved in the development of lesions were examined using a logistic regression analysis with criterion variables of gastric mucosal lesions and ulcers and the factors of sex, age, Helicobacter pylori infection, and type of NSAID as candidates for the explanatory variable.Gastric mucosal lesions were observed in 164 patients (62.8%); 27 (10.3%) had ulcers. The use of diclofenac, subjective symptoms, irregular lifestyle, and increased body mass index (BMI) were four factors associated with the development of gastric mucosal lesions; the odds ratios were 2.99, 1.92, 1.80, and 1.09, respectively. Also, the use of diclofenac, presence of H. pylori, irregular lifestyle, alcohol consumption, and aging were five factors associated with the development of ulcers; the odds ratios were 6.40, 6.07, 2.62, 2.06, and 1.05, respectively.Diclofenac can cause gastric mucosal lesions, including ulcers, more easily than other NSAIDs. H. pylori infection is a high-risk factor for ulcers in patients receiving long-term NSAIDs therapy. In NSAID-treated patients, subjective symptoms are not grounds for a diagnosis of gastric mucosal lesions, especially ulcers.

Dataset Information

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

Background

Objective

Methods

Results

Conclusions

Publications

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

Similar Datasets

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