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Record W3151179242 · doi:10.4021/jmc400w

Eight Years Follow-up After Rush Specific Oral Tolerance Induction to Cow’s Milk Proteins

2012· article· en· W3151179242 on OpenAlexvenueno aff
Couto

Bibliographic record

VenueJournal of Medical Cases · 2012
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineProtocol (science)PathologyAlternative medicine

Abstract

fetched live from OpenAlex

Cow’s milk allergy (CMA) has a great impact on children and families quality of life. Recent studies point to a tendency for longer duration and greater severity. Specific oral tolerance induction (SOTI) to cow’s milk (CM) has been regarded as a promising strategy to improve care of these patients, but prospective data concerning tolerance and safety after ending SOTI are still lacking. The longest follow-up reported had the duration of 4 years. We report a case of a young male, now aged 20 year-old, with persistent CMA, successfully submitted to a rush SOTI CM protocol, which kept CM tolerance after 8 years. During this time he maintained daily CM ingestion and strictly followed doctor’s instructions. With a faster and easier to perform protocol we achieved the same efficacy as those reported before. The key to success could be the regular exposition to allergen. Publishing these case reports reinforces the safety and efficacy of SOTI therapeutic strategy. J Med Cases. 2012;3(1):31-33 doi: https://doi.org/10.4021/jmc400w

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.049
GPT teacher head0.331
Teacher spread0.282 · 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 designCase report
Domainnot available
GenreEmpirical

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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical Cases→Same topicFood Allergy and Anaphylaxis Research→French-language works237,207→