Update on the general practice optimising structured monitoring to improve clinical outcomes in type 2 diabetes (GP-OSMOTIC) trial : statistical analysis plan for a multi-centre randomised controlled trial

• Main Authors: Chiang, Jason, Blackberry, Irene, Thuraisingam, Sharmala, Chondros, Patty, Catchpool, Max, Dalziel, Kim, Manski-Nankervis, Jo-Anne, Speight, Jane, Holmes-Truscott, Elizabeth, Audehm, Ralph, O’Neal, David, Khunti, Kamlesh, Best, James, Furler, John
• Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
• Format: Article
• Language: English
• Published: 2019
• Subjects: Statistical Analysis Plan; Randomised Controlled Trial; DRNTU::Science::Medicine
• Online Access: https://hdl.handle.net/10356/105972; http://hdl.handle.net/10220/48824
• Institution: Nanyang Technological University

Background : General Practice Optimising Structured Monitoring to Improve Clinical Outcomes in Type 2 Diabetes (GP-OSMOTIC) is a multicentre, individually randomised controlled trial aiming to compare the use of intermittent retrospective continuous glucose monitoring (r-CGM) to usual care in patients with type 2 diabetes attending general practice. The study protocol was published in the British Medical Journal Open and described the principal features of the statistical methods that will be used to analyse the trial data. This paper provides greater detail on the statistical analysis plan, including background and justification for the statistical methods chosen, in accordance with SPIRIT guidelines. Objective : To describe in detail the data management process and statistical methods that will be used to analyse the trial data. Methods : An overview of the trial design and primary and secondary research questions are provided. Sample size assumptions and calculations are explained, and randomisation and data management processes are described in detail. The planned statistical analyses for primary and secondary outcomes and sub-group analyses are specified along with the intended table layouts for presentation of the results. Conclusion : In accordance with best practice, all analyses outlined in the document are based on the aims of the study and have been pre-specified prior to the completion of data collection and outcome analyses.