biostudies-literatureAlhaj-Suliman SONIEHS NIH HHSNational Institutes of Health390-399https://www.ebi.ac.uk/biostudies/studies/S-EPMC9670863biostudies-literatureUnknown21(5)<h4>Background</h4>Despite recent therapeutic advances, osteoarthritis continues to be a challenging health problem, especially in the elderly population. Opioids, which are potent analgesics, have shown an extraordinary ability to reduce intense pain in many osteoarthritic clinical trials; however, there is an increased need for a study to integrate the reported outcomes and utilize them to achieve a better understanding. Herein, efficacy and safety aspects of opioids used to manage osteoarthritic pain were assessed and compared using a model-based meta-analysis (MBMA).<h4>Methods</h4>To perform the analysis, a comprehensive database consisting of pain relief compounds with information on summary-level of efficacy over time, adverse events and dropout rates was compiled from multiple sourCurrent drug metabolismModel-based Meta-analysis to Compare Primary Efficacy-endpoint, Efficacy-time Course, Safety, and Tolerability of Opioids Used in the Management of Osteoarthritic Pain in Humans.PMC9670863P30 ES005605P30 CA086862Alhaj-Suliman SOMilavetz GSalem AKfalseModel-based Meta-analysis to Compare Primary Efficacy-endpoint, Efficacy-time Course, Safety, and Tolerability of Opioids Used in the Management of Osteoarthritic Pain in Humans.<h4>Background</h4>Despite recent therapeutic advances, osteoarthritis continues to be a challenging health problem, especially in the elderly population. Opioids, which are potent analgesics, have shown an extraordinary ability to reduce intense pain in many osteoarthritic clinical trials; however, there is an increased need for a study to integrate the reported outcomes and utilize them to achieve a better understanding. Herein, efficacy and safety aspects of opioids used to manage osteoarthritic pain were assessed and compared using a model-based meta-analysis (MBMA).<h4>Methods</h4>To perform the analysis, a comprehensive database consisting of pain relief compounds with information on summary-level of efficacy over time, adverse events and dropout rates was compiled from multiple sour2020-01-01T00:00:00Z20202025-04-21T14:17:20.088Z2025-04-21T14:17:20.088ZS-EPMC96708633240727010.2174/1389200221666200514130441