Systematic identification of familial hypercholesterolaemia: An updated systematic review and meta-analysis
Algorithmic/genomics augmented EHR-based methods can enhance FH identification, but evidence remains limited. Standardised, scalable approaches validated in diverse populations are required to inform equitable FH screening and policy development.
Authors
- Luisa Silva
- Diandra Daley (ORCID: https://orcid.org/0000-0003-1109-149X)
- Anthony S. Wierzbicki (ORCID: https://orcid.org/0000-0003-2756-372X)
- Veline L’Esperance (ORCID: https://orcid.org/0000-0003-3234-8987)
- Aya Ayoub (ORCID: https://orcid.org/0000-0003-4380-0932)
- Nadeem Qureshi (ORCID: https://orcid.org/0000-0003-4909-0644)
- Helen Williams
- Mariam Molokhia
- Ralph K. Akyea
Institutions
- St Thomas' Hospital (GB)
- University of Nottingham (GB)
- University of Leicester (GB)
- Queen Mary University of London (GB)
- King's College London (GB)
- American Pharmacists Association (US)
- St. Thomas Hospital (CA)
Publication Details
- Journal
- Atherosclerosis
- Published
- 2025-12-27
- DOI
- https://doi.org/10.1016/j.atherosclerosis.2025.120625
- Primary Topic
- Lipoproteins and Cardiovascular Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00