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IgE-Mediated Food Allergy; Complications & Implications -

2013· article· en· W3151291093 on OpenAlexvenueno aff
Lotfollah Behroo

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2013
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsnot available
Fundersnot available
KeywordsFood allergyAllergyImmunologyImmunoglobulin EPopulationImmune systemAllergenFish <Actinopterygii>AntigenMedicineBiologyEnvironmental healthAntibody

Abstract

fetched live from OpenAlex

IgE-mediated allergic diseases are a major socio-economic problem caused by complex interactions between genes and the environment. In general, the production of IgE and allergic inflammation result from overexpression of T-helper 2[(Th2); IgE-producing T-lymphocyte lineage] type immune responses (type I hypersensitivity reactions) cytokines.On the average, it is estimated that 30-40% of the world population are now, being affected by one or more allergic condition(s) of which food allergies, for the most part, account for this augmentation and consequently embrace a major portion of the affections(up to 20%). Of course, it should be noted that, the vast majority of reactions due to food allergy do not require hospitalisation and, thus, the true number of distinguished/reported cases is still, likely to be significantly higher.Virtually, any food protein can cause clinical syndrome in susceptible individual; however, only a small number of foods are responsible for more than 90 percent of allergic food reactions, and most patients are sensitive to fewer than three foods. In children, the most common foods causing reactions are egg, milk, peanuts, soy, wheat, tree nuts and fish. Adults most often react to peanuts, tree nuts, fish and shellfish.Despite allergy to food proteins having been known for many years, there is little information on whether food antigens are increased in these conditions and how much antigen is absorbed as well as, the biological activity of the absorbed allergen. One explanation could be the limitations of sensitive analytic methods for analyzing food proteins in human serum.On the other part, current curative cares under evaluation include strategies to block IgE or IgE synthesis and to interrupt the Th2-dependent allergic cascade.Altogether, the thing of noteworthy is that, a determined effort using the best appropriate food allergy diagnostic technics would be certainly required in order to, produce the most clinically effective/safe patient results and, develop any effectual/promising therapeutic approaches for IgE-mediated food allergies owing to their epidemic worldwide increase in prevalence and morbidity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0410.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.112
GPT teacher head0.403
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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