An interdisciplinary approach to characterize peanut-allergic patients-First data from the FOOD@ consortium.

Publication Year: 2022

DOI:
10.1002/clt2.12197

PMCID:
PMC9533219

PMID:
36225266

Journal Information

Full Title: Clin Transl Allergy

Abbreviation: Clin Transl Allergy

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Allergy

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
5/6
83.3% Transparent
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Core Indicators
Evidence found in paper:

"integrative analysis of the different sub-project data sets was performed using the r-package metadeconfoundr (available on github: https://github com/tillbirkner/metadeconfoundr ) metadeconfoundr reported significant univariate associations between individual features of all available feature spaces based on mann-whitney u /spearman correlation tests (fdr-corrected p -values < 0 1)."

Evidence found in paper:

"integrative analysis of the different sub-project data sets was performed using the r-package metadeconfoundr (available on github: https://github com/tillbirkner/metadeconfoundr ) metadeconfoundr reported significant univariate associations between individual features of all available feature spaces based on mann-whitney u /spearman correlation tests (fdr-corrected p -values < 0 1)."

Evidence found in paper:

"CONFLICT OF INTEREST All authors declare no competing interests."

Evidence found in paper:

"This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) as part of the clinical research unit (CRU339); Food allergy and tolerance (FOOD@)—409525714."

Protocol Registration
Open Access
Paper is freely available to read
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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025