Early introduction of peanut reduces peanut allergy across risk groups in pooled and causal inference analyses Article Swipe
Kirsty Logan
,
Henry T. Bahnson
,
Alyssa Ylescupidez
,
Kirsten Beyer
,
Johanna Bellach
,
Dianne E. Campbell
,
Joanna Craven
,
George Du Toit
,
E. N. Clare Mills
,
Michael R. Perkin
,
Graham Roberts
,
Ronald van Ree
,
Gideon Lack
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/all.15597
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1111/all.15597
Background The Learning Early About Peanut allergy (LEAP) study has shown the effectiveness of early peanut introduction in prevention of peanut allergy (PA). In the Enquiring About Tolerance (EAT) study, a statistically significant reduction in PA was present only in per‐protocol (PP) analyses, which can be subject to bias. Objective The aim of this study was to combine individual‐level data from the LEAP and EAT trials and provide robust evidence on the bias‐corrected, causal effect of early peanut introduction. Method As part of the European Union‐funded iFAAM project, this pooled analysis of individual pediatric patient data combines and compares effectiveness and efficacy estimates of oral tolerance induction among different risk strata and analysis methods. Results An intention‐to‐treat (ITT) analysis of pooled data showed a 75% reduction in PA ( p < .0001) among children randomized to consume peanut from early infancy. A protective effect was present across all eczema severity groups, irrespective of enrollment sensitization to peanut, and across different ethnicities. Earlier age of introduction was associated with improved effectiveness of the intervention. In the pooled PP analysis, peanut consumption reduced the risk of PA by 98% ( p < .0001). A causal inference analysis confirmed the strong PP effect (89% average treatment effect relative risk reduction p < .0001). A multivariable causal inference analysis approach estimated a large (100%) reduction in PA in children without eczema ( p = .004). Conclusion We demonstrate a significant reduction in PA with early peanut introduction in a large group of pooled, randomized participants. This significant reduction was demonstrated across all risk subgroups, including children with no eczema. Furthermore, our results point to increased efficacy of the intervention with earlier age of introduction.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/all.15597
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/all.15597
- OA Status
- hybrid
- Cited By
- 46
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4310004215
All OpenAlex metadata
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https://openalex.org/W4310004215Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/all.15597Digital Object Identifier
- Title
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Early introduction of peanut reduces peanut allergy across risk groups in pooled and causal inference analysesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-11-27Full publication date if available
- Authors
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Kirsty Logan, Henry T. Bahnson, Alyssa Ylescupidez, Kirsten Beyer, Johanna Bellach, Dianne E. Campbell, Joanna Craven, George Du Toit, E. N. Clare Mills, Michael R. Perkin, Graham Roberts, Ronald van Ree, Gideon LackList of authors in order
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https://doi.org/10.1111/all.15597Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/all.15597Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/all.15597Direct OA link when available
- Concepts
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Peanut allergy, Allergy, Inference, Causal inference, Medicine, Immunology, Biology, Food allergy, Computer science, Artificial intelligence, PathologyTop concepts (fields/topics) attached by OpenAlex
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46Total citation count in OpenAlex
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2025: 13, 2024: 18, 2023: 13, 2022: 1Per-year citation counts (last 5 years)
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25Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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