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Record W2980595867 · doi:10.1016/j.jaci.2019.06.049

Next-generation Allergic Rhinitis and Its Impact on Asthma (ARIA) guidelines for allergic rhinitis based on Grading of Recommendations Assessment, Development and Evaluation (GRADE) and real-world evidence

2019· review· en· W2980595867 on OpenAlexaff
Jean Bousquet, Holger J. Schünemann, A. Togias, Claus Bachert, Martina Erhola, Peter W. Hellings, Ludger Klimek, Oliver Pfaar, Dana Wallace, Ignacio J. Ansotegui, Ioana Agache, Anna Bedbrook, Karl‐Christian Bergmann, M. Bewick, Philippe Bonniaud, Sinthia Bosnic‐Anticevich, Isabelle Bossé, Jacques Bouchard, Louis‐Philippe Boulet, Jan Brożek, Guy Brusselle, Moisés Calderón, Giorgio Walter Canonica, Luis Caraballo, Thomas B. Casale, Lorenzo Cecchi, Derek K. Chu, Elı́sio Costa, Ãlvaro A. Cruz, Gennaro D’Amato, Philippe Devillier, Mark S. Dykewicz, Motohiro Ebisawa, Jean-Louis Fauquert, Wytske J. Fokkens, João Fonseca, Jean-François Fontaine, Bilun Gemicioğlu, Roy Gerth van Wijk, Tari Haahtela, Susanne Halken, Despo Ierodiakonou, Tomohisa Iinuma, Juan Carlos Ivancevich, Marek Jutel, Ігор Петрович Кайдашев, Musa Khaitov, Ömer Kalaycı, Jörg Kleine‐Tebbe, Marek L. Kowalski, Piotr Kuna, Violeta Kvedarienė, Stefania La Grutta, Désirée Larenas‐Linnemann, Susanne Lau, Daniel Laune, Lan Le, P. Lieberman, Karin C. Lødrup Carlsen, Olga Lourenço, Gert Mariën, Pedro Martins, Erik Melén, Enrica Menditto, Hugo Neffen, Grégoire Mercier, Ralph Mosgues, Joaquim Mullol, Antonella Muraro, Leyla S. Namazova-Baranova, Ettore Novellino, Robyn E. O’Hehir, Yoshitaka Okamoto, Ken Ohta, Hae‐Sim Park, Petr Panzner, Giovanni Passalacqua, N. Pham‐Thi, David Price, Graham Roberts, Nicolás Roche, C. Rolland, Dermot Ryan, Bolesław Samoliński, Mario Sánchez‐Borges, Glenis K. Scadding, Mohamed H. Shamji, Aziz Sheikh, Ana Todo‐Bom, Sanna Toppila‐Salmi, Marylin Valentín-Rostán, Arūnas Valiulis, Erkka Valovirta, Maria Teresa Ventura, Samantha Walker, Susan Waserman, Arzu Yorgancıoğlu, Torsten Zuberbier

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2019
Typereview
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsRoyal Ottawa Mental Health CentreUniversité LavalMcMaster University
FundersEfficacy and Mechanism Evaluation ProgrammeSanofi GenzymeAllergopharmaG. Pohl-BoskampServierMundipharmaALK-AbellóCiplaShionogiAstraZenecaAllergy TherapeuticsRegeneron PharmaceuticalsMylanOtonomyImmune Tolerance NetworkF. Hoffmann-La RocheTeva Pharmaceutical IndustriesNovartisRespiratory Effectiveness GroupAKL Research and DevelopmentCSL BehringChiesi FarmaceuticiAmgenGenentechStiftung Tierärztliche Hochschule HannoverBritish Lung FoundationSanofiKyorin PharmaceuticalPfizerWorld Health OrganizationChiesi EspañaMerckGlaxoSmithKline
KeywordsMedicineGrading (engineering)AsthmaRandomized controlled trialIntensive care medicineAllergen immunotherapyAllergyImmunologyAllergenInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.013
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0080.011
Bibliometrics0.0100.005
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0030.003
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 head0.392
GPT teacher head0.511
Teacher spread0.119 · 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 designSystematic review
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

Citations571
Published2019
Admission routes1
Has abstractno

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