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Record W2020364132 · doi:10.1586/17476348.2015.1000867

Efficacy and safety of reslizumab in patients with moderate to severe eosinophilic asthma

2015· review· en· W2020364132 on OpenAlexaff
Hui Fang Lim, Parameswaran Nair

Bibliographic record

VenueExpert Review of Respiratory Medicine · 2015
Typereview
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsMedicineBenralizumabMepolizumabAsthmaDosingAdverse effectEosinophiliaInternal medicineEosinophilEosinophilicImmunologyPathology

Abstract

fetched live from OpenAlex

Reslizumab, a neutralizing anti-IL-5 monoclonal antibody, is a promising adjunctive treatment for severe eosinophilic asthma. Monthly intravenous 3.0 mg/kg reslizumab had resulted in improvements in lung function and asthma control. It is well tolerated and common adverse events include headache, nasopharyngitis and upper respiratory tract infection. Rebound eosinophilia after cessation of reslizumab and attenuation of the treatment response with repeated dosing had been reported. Stringent selection of patients with a high eosinophil burden, who are poorly controlled despite moderate to high doses of inhaled corticosteroid, confers the most significant treatment response. Future trials should compare the dose, delivery platform, frequency of dosing and study combinations with other biologics, which will affect its maximal clinical efficacy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.843
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.357
Teacher spread0.322 · 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 teacher head, not a consensus.

Study designOther design
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

Citations30
Published2015
Admission routes1
Has abstractyes

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