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These covariates included demographics (age, gender [male, female, unknown], race [Black or African American, White, Asian], ethnicity [Hispanic or Latino, Not Hispanic or Latino, unknown], and marital status), socioeconomic determinants of health (SDOHs) including education, employment, environmental exposure, and housing, problems related to lifestyle, cancer, diabetes severity indicators (e.g., obesity, complications like nephropathy, liver, neuropathy, heart disease), some conditions known to be associated with constipation or intestinal obstruction (e.g., diseases of intestines, diseases of appendix), and prior prescription of medicines associated with diabetes, decreased intestinal motility, or constipation [15, 16, 27,28,29,30]

Some patients may need to adjust their travel schedule or arrange for refrigerated storage through local pharmacies or medical facilities at their destination

By indication, type 2 diabetes accounted for 87.36% revenue in 2025, but obesity and weight-management prescriptions are forecast to grow at 11.57% CAGR to 2031

The rapid advancement of artificial intelligence (AI), particularly machine learning and deep learning methodologies, is revolutionizing pharmacovigilance research by enabling more sophisticated utilization and mining of real-world data (RWD) [54]

(2025) ApoB-containing lipoproteins: count, type, size, and risk of coronary artery disease Lamija Ferhatbegovi, et al