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Record W2804640215 · doi:10.2217/imt-2018-0003

Ragweed Sublingual Tablet Immunotherapy: Part II – Practical Considerations and Pertinent Issues

2018· review· en· W2804640215 on OpenAlexaboutno aff
Oliver Pfaar, Peter S. Creticos

Bibliographic record

VenueImmunotherapy · 2018
Typereview
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsnot available
Fundersnot available
KeywordsRagweedSublingual immunotherapyMedicineSlitAllergyClinical trialDermatologyImmunotherapyAllergic asthmaAsthmaAllergen immunotherapyIntensive care medicineAllergenImmunologyInternal medicineImmune system

Abstract

fetched live from OpenAlex

Sublingual allergen immunotherapy (SLIT) has been demonstrated to be both efficacious and safe for the treatment of respiratory allergies such as allergic rhinoconjunctivitis or allergic asthma. Based on the clinical documentation of SLIT ragweed tablets, they have gained marketing authorization in the USA by the US FDA in 2014 for adult patients. Following clinical data from (pivotal) multicenter Phase II and III trials as performed in the USA and Canada and real life experience after registration in 2014, SLIT ragweed tablets can be recommended as efficacious and safe treatment option with disease modifying potential when adequately indicated and performed. Therefore, several practical issues should be considered for treating ragweed allergic patients with these tablets. This second part of a thorough review on ragweed SLIT tablets addresses important clinical questions which should be taken into account by the subscribing practitioner before initiation and during the treatment.

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)0.001
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: Review
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.083
GPT teacher head0.392
Teacher spread0.310 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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