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Biological treatment provides disease-modifying immunological effects

2021· preprint· en· W4236867910 on OpenAlexaff
Mohamed H. Shamji, Elizabeth Palmer, Janice A. Layhadi, Theo J. Moraes, Thomas Eiwegger

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsOmalizumabMepolizumabBenralizumabMedicineImmunologyDupilumabAsthmaAtopic dermatitisDiseaseEndotypeImmunoglobulin EAllergyEosinophilAntibodyInternal medicine

Abstract

fetched live from OpenAlex

Advances in molecular biology alongside the accelerated development of gene and cell engineering have contributed to the development of several endotype-targeted biological therapies against chronic immune-mediated allergic diseases. Conventional therapies for asthma, chronic rhinosinusitis with polyposis (CRSwNP), chronic spontaneous urticaria and atopic dermatitis (AD) are not without limitations, and as such the advent of biological therapies have provided a promising alternative treatment option. Biologicals have proven efficacious in the treatment of refractory chronic spontaneous urticaria, asthma, AD, CRSwNP and there is increasing evidence for their utility in treating food allergy. Biologicals are applied and investigated for the most urgent need: acute treatment, symptom control and reduction of steroid usage. Currently there are five approved biologicals for allergic disease management, targeted against IgE (omalizumab), type 2 (T2) cytokines and cytokine receptors (IL-4Ra; dupilumab, IL-5; mepolizumab/reslizumab, IL-5Ra; benralizumab).

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.005

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 head0.319
Teacher spread0.270 · 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
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
Published2021
Admission routes1
Has abstractyes

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