Evaluation of trajectory analysis for disease risk assessment: a scoping review
While the field's nascency hinders firm conclusions, there are promising results across a range of model types and objectives. Continued research from diverse perspectives will help determine whether this growing field can deliver meaningful clinical benefits.
Authors
- Becky L. White (ORCID: https://orcid.org/0000-0002-0643-7890)
- Johan H. Thygesen (ORCID: https://orcid.org/0000-0002-7479-3459)
- Spiros Denaxas (ORCID: https://orcid.org/0000-0001-9612-7791)
- Georgios Lyratzopoulos (ORCID: https://orcid.org/0000-0002-2873-7421)
- Kezhi Li (ORCID: https://orcid.org/0000-0003-3073-3128)
- Freya Pollington (ORCID: https://orcid.org/0009-0003-5015-6732)
Institutions
- Cancer Research UK (GB)
- Health Data Research UK (GB)
- University College London (GB)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1093/jamia/ocaf208
- Citations
- 2
- Primary Topic
- Statistical Methods and Bayesian Inference
- Type
- article
- Field-Weighted Citation Impact
- 5.26
Funders
- Health and Care Research Wales
- Scottish Government
- UK Research and Innovation
- Cancer Research UK
- National Institute for Health and Care Research
- British Heart Foundation
- Public Health Agency
- Chief Scientist Office, Scottish Government Health and Social Care Directorate
- Medical Research Council
- Engineering and Physical Sciences Research Council
- Economic and Social Research Council
- Health and Social Care Research and Development Division