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Record W3004838051 · doi:10.1111/all.14221

Efficacy and safety of treatment with biologicals (benralizumab, dupilumab, mepolizumab, omalizumab and reslizumab) for severe eosinophilic asthma. A systematic review for the EAACI Guidelines ‐ recommendations on the use of biologicals in severe asthma

2020· review· en· W3004838051 on OpenAlexaff
Ioana Agache, Jessica Beltrán, Cezmi A. Akdiş, Mübeccel Akdiş, Carlos Canelo‐Aybar, Giorgio Walter Canonica, Thomas B. Casale, Tomás Chivato, Jonathan Corren, Stefano Del Giacco, Thomas Eiwegger, Davide Firinu, James E. Gern, Eckard Hamelmann, Nicola A. Hanania, Mika J. Mäkelä, Irene Hernández‐Martín, Parameswaran Nair, Liam O’Mahony, Nikolaos G. Papadopoulos, Alberto Papi, Hae‐Sim Park, Luis Pérez de Llano, Margarita Posso, Claudio Rocha, Santiago Quirce, J. Sastre, Mohamed H. Shamji, Yang Song, Corinna Steiner, Jürgen Schwarze, Pablo Alonso‐Coello, Óscar Palomares, Marek Jutel

Bibliographic record

VenueAllergy · 2020
Typereview
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsSt. Joseph’s Healthcare HamiltonSickKids FoundationHospital for Sick ChildrenMcMaster UniversityUniversity of Toronto
FundersSanofi GenzymeAllergopharmaEuropean Academy of Allergy and Clinical ImmunologySanofiImmune Tolerance NetworkRegeneron PharmaceuticalsAstraZenecaAllergy TherapeuticsAmgen
KeywordsMepolizumabBenralizumabMedicineOmalizumabDupilumabInternal medicineAsthmaPediatricsImmunologyImmunoglobulin EEosinophil

Abstract

fetched live from OpenAlex

Abstract Five biologicals have been approved for severe eosinophilic asthma, a well‐recognized phenotype. Systematic reviews (SR) evaluated the efficacy and safety of benralizumab, dupilumab, mepolizumab, omalizumab and reslizumab (alphabetical order) compared to standard of care for severe eosinophilic asthma. PubMed, Embase and Cochrane Library were searched to identify RCTs and health economic evaluations, published in English. Critical and important asthma‐related outcomes were evaluated for each of the biologicals. The risk of bias and the certainty of the evidence were assessed using GRADE. 19 RCTs (three RCTs for benralizumab, three RCTs for dupilumab, three RCTs for mepolizumab, five RCTs for omalizumab and five RCTs for reslizumab), including subjects 12 to 75 years old (except for omalizumab including also subjects 6‐11 years old), ranging from 12 to 56 weeks were evaluated. All biologicals reduce exacerbation rates with high certainty of evidence: benralizumab incidence rate ratio (IRR) 0.53 (95% CI 0.39 to 0.72), dupilumab (IRR) 0.43 (95% CI 0.32 to 0.59), mepolizumab IRR 0.49 (95% CI 0.38 to 0.66), omalizumab (IRR) 0.56 (95% CI 0.40 to 0.77) and reslizumab (IRR) 0.46 (95% CI 0.37 to 0.58). Benralizumab, dupilumab and mepolizumab reduce the daily dose of oral corticosteroids (OCS) with high certainty of evidence. All evaluated biologicals probably improve asthma control, QoL and FEV 1 , without reaching the minimal important difference (moderate certainty). Benralizumab, mepolizumab and reslizumab slightly increase drug‐related adverse events (AE) and drug‐related serious AE (low to very low certainty of evidence). The incremental cost‐effectiveness ratio per quality‐adjusted life year value is above the willingness to pay threshold for all biologicals (moderate certainty). Potential savings are driven by decrease in hospitalizations, emergency and primary care visits. There is high certainty that all approved biologicals reduce the rate of severe asthma exacerbations and for benralizumab, dupilumab and mepolizumab for reducing OCS. There is moderate certainty for improving asthma control, QoL, FEV 1 . More data on long‐term safety are needed together with more efficacy data in the paediatric population.

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)0.016
metaresearch head score (Gemma)0.042
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 score0.016
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.042
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.017
Bibliometrics0.0070.005
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.167
GPT teacher head0.375
Teacher spread0.208 · 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".

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Citations396
Published2020
Admission routes1
Has abstractyes

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