“…The latter adjusted their multivariate analysis for male gender, middle to old age, white ethnicity, obesity, diabetes, and elevated creatinine levels. Similarly, Kim et al (14) adjusted their multivariable logistic regression analysis for age, sex, income, region of residence, total cholesterol, SBP, DBP, fasting blood glucose, CCI score, prescription dates within 1 year of each H2 blocker and NSAID, and number of GERD treatments, and performed subgroup analyses according to age, sex, income, region of residence, obesity, smoking, alcohol consumption, total cholesterol, systolic blood pressure, and fasting blood glucose. Simonov et al (15) used a time-varying Cox proportional hazards model adjusted for baseline covariates including sex, race/ethnicity, age, creatinine, medications (H2RAs, thiazide diuretics, loop diuretics, gout medications), medical history (gastroesophageal reflux disease, peptic ulcer disease, Barrett's disease, gastrointestinal bleed, gastritis, functional dyspepsia, gastrointestinal surgical history, diabetes, gout) and total number of inpatient/outpatient encounters in the previous year.…”