Evidence map›Paper›PMID 42529298›Full record

ReviewAllergologie select2026

Allergens from plant-based food allergen sources and their clinical and diagnostic relevance.

Eva-Maria Rick, Melanie Plum, Marua Abu Risha, Uta Jappe

Abstract readReview
In one paragraph

Review in Allergologie select, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Eva-Maria RickDivision of Clinical and Molecular Allergology, Priority Research Area Chronic Lung Diseases, Research Center Borstel, Leibniz Lung Center, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Borstel, and.
Melanie PlumDivision of Clinical and Molecular Allergology, Priority Research Area Chronic Lung Diseases, Research Center Borstel, Leibniz Lung Center, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Borstel, and.
Marua Abu RishaDivision of Clinical and Molecular Allergology, Priority Research Area Chronic Lung Diseases, Research Center Borstel, Leibniz Lung Center, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Borstel, and.
Uta JappeDivision of Clinical and Molecular Allergology, Priority Research Area Chronic Lung Diseases, Research Center Borstel, Leibniz Lung Center, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Borstel, and.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lately, a rise of plant-related food allergies could be observed following the increase of plant-based food consumption. This narrative review provides an overview of important plant allergens from the most common allergen sources including the "Big 9", and those gaining more clinical significance such as legumes (other than peanuts) or fruits. Both commercially available and unavailable allergens for in vitro (i.e., specific IgE) and ex vivo (e.g., basophil activation test) diagnostics described in the literature to date are included in this work. In addition, gaps in the commercially available test panels (e.g., oleosins) as well as a lack of knowledge about the clinical relevance of some allergens are highlighted using the latest publications. Furthermore, practical applications are provided in exemplary case reports. In conclusion, molecular allergology provides important tools to advance precision diagnostics of allergic diseases and consequently, patient care.

Indexed as

fruitslegumespeanutsesametree nutswheat

Identifiers

PMID42529298
PMCPMC13416921

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.