Objective: To evaluate data sharing statement (DSS) inclusion within rheumatology clinical studies published over the past four years in ten top rheumatology journals.
Methods: We conducted a systematic review of rheumatology clinical studies published in ten leading journals between January 1, 2020, and December 31, 2023. Articles were included if they provided new primary data through original research and excluded if no new primary data was found. Key analyses included descriptive statistics and adjusted logistic regression to examine factors influencing DSS inclusion. The association between study designs was derived from this regression analysis.
Results: After forty-six exclusions, 1,108 of 1,154 publications met inclusion criteria for analysis. Rheumatology was the most represented journal (285; 25.72%), and clinical trials the most common study design (591; 53.34%). Cohort studies were significantly less likely to include DSS than clinical trials (aOR: 0.55, 95% CI: 0.37-0.82, p= 0.004). Overall, 622 articles (55.97%) had DSS. Six of the eight journals showed an overall increase in DSS inclusion from 2020 to 2023, with Rheumatology reaching 100% in 2023. Theme analysis of the 622 DSS described most data as conditionally available (552; 88.75%) or requiring a data request (479; 77.01%).
Conclusion: Our study describes data sharing practices in rheumatology research, highlighting trends in DSS inclusion and journal policies' influence on them. While organisations like the American College of Rheumatology and National Institute of Health have promoted these practices, inconsistencies remain. We recommend implementing a standardised DSS requirement during author submission to enhance transparency in rheumatology research.
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