Crowd-sourcing and automation facilitated the identification and classification of randomized controlled trials in a living review

• Published in: Journal of clinical epidemiology Vol. 164; pp. 1 - 8
• Main Authors: Kamso, Mohammed Mujaab, Pardo, Jordi Pardo, Whittle, Samuel L, Buchbinder, Rachelle, Wells, George, Glennon, Vanessa, Tugwell, Peter, Deardon, Rob, Sajobi, Tolulope, Tomlinson, George, Elliott, Jesse, Kelly, Shannon E, Hazlewood, Glen S
• Format: Journal Article
• Language: English
• Published: United States Elsevier Limited 01.12.2023
• Subjects: Accuracy; Agreements; Automation; Classification; Clinical medicine; Clinical practice guidelines; Clinical trials; Crowdsourcing; Efficiency; Evaluation; Learning algorithms; Machine learning; Reviews; Rheumatoid arthritis; Screening; Steroids; Workloads; Crowdsourcing; Living systematic reviews; Automation; Rheumatoid arthritis; Machine learning; Systematic reviews; Randomized controlled trials (RCTs)

To evaluate an approach using automation and crowdsourcing to identify and classify randomized controlled trials (RCTs) for rheumatoid arthritis (RA) in a living systematic review (LSR). Records from a database search for RCTs in RA were screened first by machine learning and Cochrane Crowd to exclu...