Association between Gout and Gastric Cancer: A Nested Case–Control Study Using a National Health Sample Cohort

Author:

Kwon Mi Jung1ORCID,Han Kyeong Min2,Kim Ji Hee3,Kim Joo-Hee4,Kim Min-Jeong5ORCID,Kim Nan Young6,Choi Hyo Geun7,Kang Ho Suk8

Affiliation:

1. Department of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea

2. Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang 14068, Republic of Korea

3. Department of Neurosurgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea

4. Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea

5. Department of Radiology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea

6. Hallym Institute of Translational Genomics and Bioinformatics, Hallym University Medical Center, Anyang 14068 , Republic of Korea

7. Suseo Seoul E.N.T. Clinic and MD Analytics, Seoul 06349, Republic of Korea

8. Department of Internal Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea

Abstract

Given the global significance of gout and gastric cancer (GC) as major health problems with interrelated impacts, we examined the development of GC in Korean patients with gout. We conducted a nested case–control study using data from 10,174 GC patients and 40,696 control patients from the Korean National Health Insurance Service-National Sample Cohort database. Propensity score matching (1:4) with propensity score overlap-weighted adjustment was used to reduce selection bias and estimate the odds ratio (OR) and 95% confidence intervals (CIs) for the association between gout and GC. An adjusted OR for GC was not significantly higher in patients with gout than in control patients (1.02; 95% CI, 0.93–1.12; p = 0.652). Additionally, no association between gout and GC was observed in subgroup analyses such as sex, age, level of income, region of residence, or Charlson Comorbidity Index score. In conclusion, these results suggest that gout is not a significant independent risk factor for GC among the Korean population. Additional investigation is required to establish a causal association between gout and GC, and to generalize these results to general populations.

Funder

Hallym University

Publisher

MDPI AG

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