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Record W4415009700 · doi:10.1183/13993003.01229-2025

Fractional exhaled nitric oxide and the response to prednisolone for asthma attacks in patients treated with anti-IL5/5Rα therapy: a prospective observational study

2025· letter· en· W4415009700 on OpenAlexaff
Imran Howell, Mahdi Mahdi, Hafiz Taha Mahmood, Laura Bermejo-Sanchez, Catherine Borg, Sanjay Ramakrishnan, J. Mark Melhorn, Gabriel Lavoie, Nayia Petousi, Timothy Hinks, Mona Bafadhel, Ian Pavord

Bibliographic record

VenueEuropean Respiratory Journal · 2025
Typeletter
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversité de Montréal
FundersNIHR Oxford Biomedical Research Centre
KeywordsExhaled nitric oxideAsthmaObservational studyMepolizumabPrednisoloneNitric oxideProspective cohort study

Abstract

fetched live from OpenAlex

Anti-interleukin (IL)5/5Rα monoclonal antibody (mAb) therapies deplete blood eosinophils and reduce the annualised asthma attack rate by over 50%. The clinical benefits of oral corticosteroids (OCS) to treat breakthrough attacks are uncertain. Fractional exhaled nitric oxide (FENO) has the potential to discriminate between ongoing type-2 airway inflammation or infection in breakthrough attacks on mepolizumab.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.036
GPT teacher head0.294
Teacher spread0.258 · 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 designObservational
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

Citations6
Published2025
Admission routes1
Has abstractyes

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