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The best way to reference the trial2rev system and the data source:

  • P Newman, R Bashir, D Surian, FT Bourgeois, AG Dunn (2018) trial2rev: combining machine learning and crowd-sourcing to create a shared space for updating systematic reviews, JAMIA Open. doi:10.1093/jamiaopen/ooy062;

Other related articles:

  • D Surian, AG Dunn, L Orenstein, R Bashir, E Coiera, FT Bourgeois (2018) A shared latent space matrix factorisation method for recommending new trial evidence for systematic review updates, Journal of Biomedical Informatics, 79:32-40. doi:10.1016/j.jbi.2018.01.008; preprint: arXiv: 1709.06758.
  • AG Dunn, E Coiera, FT Bourgeois (2018) Unreported links between trial registrations and published articles were identified using document similarity measures in a cross-sectional analysis of, Journal of Clinical Epidemiology, 95:94-101. doi: 10.1016/j.jclinepi.2017.12.007; preprint: arXiv:1709.02116.
  • R Bashir, FT Bourgeois, AG Dunn (2017) A systematic review of the processes used to link clinical trial registrations to their published results, Systematic Reviews, 6:123. doi: 10.1186/s13643-017-0518-3.
  • R Bashir, AG Dunn (2016) A systematic review protocol assessing the processes for linking clinical trial registries and their published results, BMJ Open, 6(10):e013048. doi: 10.1136/bmjopen-2016-013048.

Data sources used in the trial2rev system include CrossRef, PubMed/MEDLINE, and Additional sources of data for linking systematic reviews and trials may be added in the future.

The research was supported by a grant from the Agency for Healthcare Research and Quality (R03HS024798) and the National Library of Medicine of the National Institutes of Health (R01LM012976), with investigators Florence Bourgeois, Adam Dunn (, and Kenneth Mandl. We also receive support from the AWS Cloud Credits for Research program. This website and the underlying systems were developed by Paige Martin (

Affiliations for investigators and developers include the Computational Health Informatics Program, Boston Children’s Hospital; Department of Pediatrics, Harvard Medical School; Department of Biomedical Informatics, Harvard Medical School; and the Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University.