Open Access Online Calculator Predicts Peanut-Allergic Reactions With High Accuracy
The Peanut Allergy Prediction Web Tool's diagnostic performance proves highly accurate using several different combinations of test results when classifying PA and PST cases. Future validation is needed to assess the tool's performance in predicting PA severity in comparison with OFC outcomes.
Authors
- Gideon Lack (ORCID: https://orcid.org/0000-0001-7350-4021)
- Tom Marrs (ORCID: https://orcid.org/0000-0003-2865-0606)
- Henry T. Bahnson (ORCID: https://orcid.org/0000-0002-1046-5296)
- George Du Toit (ORCID: https://orcid.org/0000-0002-0321-2928)
- Ru‐Xin Foong (ORCID: https://orcid.org/0000-0001-7974-0068)
- Alexandra F. Santos (ORCID: https://orcid.org/0000-0002-7805-1436)
- Helen A. Brough (ORCID: https://orcid.org/0000-0001-8373-1367)
- Hanipah Mears
- Shriya A Sanghera
Institutions
- St Thomas' Hospital (GB)
- King's College London (GB)
- Immune Tolerance Network (US)
- Evelina London Children's Healthcare (GB)
- Benaroya Research Institute
Publication Details
- Journal
- The Journal of Allergy and Clinical Immunology In Practice
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1016/j.jaip.2025.05.016
- Citations
- 2
- Primary Topic
- Respiratory viral infections research
- Type
- article
- Field-Weighted Citation Impact
- 2.71
Funders
- King's College Hospital NHS Foundation Trust
- Immune Tolerance Network
- Allergy Therapeutics
- National Institute for Health and Care Research
- Asthma and Lung UK
- King's College London
- Medical Research Council
- National Institute of Allergy and Infectious Diseases