Prevalence of Nonsteroidal Antiinflammatory Drugs Prescribed for Osteoarthritis: A Systematic Review and <scp>Meta‐Analysis</scp> of Observational Studies
Zijing Yang, Stephanie Mathieson, Sarah Kobayashi, Christina Abdel Shaheed, Leandro Alberto Calazans Nogueira, Milena Simić, Gustavo C Machado, Andrew J. McLachlan
Abstract
OBJECTIVE: Our systematic review aimed to investigate the proportion of participants with osteoarthritis who were prescribed nonsteroidal antiinflammatory drugs (NSAIDs) by their health care provider. METHODS: Electronic databases were searched for observational studies reporting NSAID prescribing to participants with diagnosed osteoarthritis of any region. Risk of bias was assessed using a tool designed for observational studies measuring prevalence. Random and fixed-effects meta-analysis was used. Meta-regression investigated study-level factors associated with prescribing. The overall evidence quality was assessed using Grading of Recommendations Assessment, Development, and Evaluation criteria. RESULTS: Fifty-one studies were included, published between 1989 and 2022, with 6,494,509 participants. The mean age of participants was 64.7 years (95% confidence interval [95% CI] 62.4, 67.0; n = 34 studies). Most studies were from Europe and Central Asia (n = 23 studies), and North America (n = 12 studies). Most studies were judged to be at low risk of bias (75%). Heterogeneity was eliminated when removing studies with a high risk of bias, to give a pooled estimate of NSAIDs prescribing to participants with osteoarthritis of 43.8% (95% CI 36.8, 51.1; moderate quality of evidence). Meta-regression determined that prescribing was associated with year (decreased prescribing over time; P = 0.05) and geographic region (P = 0.03; higher in Europe and Central Asia and in South Asia than in North America) but not with clinical setting. CONCLUSION: Data from over 6.4 million participants with osteoarthritis between 1989 and 2022 indicate that NSAID prescribing has decreased over time and that prescribing differs between geographic locations.