The FORAS project: Fully Open-source and Real-time AI-aided Systematic literature screening in inclusive databases
The course, i.e., trajectory, of post-traumatic stress symptoms (PTSS) differs widely, with most trauma-exposed individuals being either resilient or quickly recovering from initial symptoms, while for a subgroup of individuals PTSS are severe and may persist for years. The FORAS project aims to update and expand upon a previous systematic literature review on PTSS trajectories following traumatic events. Initially, we discovered 34 studies that charted varying PTSS courses, leading to developing a quality checklist and Bayesian Latent growth mixture model. The current review will extend this work by examining literature published between 2016 and 2023.
We will replicate and extend the original search to additional databases, integrating advanced machine-learning techniques with the OpenAlex database. This approach aims to capture studies potentially missed by traditional search methods. In total, we will assess seven different search strategies and compare their effectiveness in identifying relevant papers. We seek to understand whether advanced methods yield the same relevant papers more efficiently or uncover additional meaningful studies.
As the project goes, we will update the website with new data, scripts and output!
Pre-Registration
The article has been pre-registered via PROSPERO:
Rens van de Schoot, Bruno Coimbra, Tale Evenhuis, Peter Lombaers, Mirjam van Zuiden, Beth Grandfield, Jonathan de Bruin, Jelle Teijema, Laurens de Bruin, Rutger Neeleman, Elena Jalsovec. Trajectories of PTSD Following Traumatic Events: A Systematic and Multi-database Review. PROSPERO 2023 CRD42023494027
Scripts, data and output
Coimbra, B. M., Evenhuis, T., van Zuiden, M., Grandfield, E. M., Neeleman, R. C., & van de Schoot, R. (2023, December 21). FORAS Project: DataSet_1 Replication of the Synergy version of the PTSS-Data. DOI:10.17605/OSF.IO/QABW3
Coimbra, B. M., Evenhuis, T., van Zuiden, M., Grandfield, E. M., Neeleman, R. C., & van de Schoot, R. (2023, December 21). FORAS Project: DataSet_2 Comprehensive Search Update of the PTSS-Dataset. DOI:10.17605/OSF.IO/D3UV5