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Record W4412393083 · doi:10.1016/s2213-2600(25)00174-2

Eosinophils in asthma phenotypes: perpetrators or guilty by association?

2025· review· en· W4412393083 on OpenAlexaff
Marek Lommatzsch, Roland Buhl, Karl‐Christian Bergmann, Guy Brusselle, Giorgio Walter Canonica, David J. Jackson, Liam G. Heaney, Parameswaran Nair, JC Virchow

Bibliographic record

VenueThe Lancet Respiratory Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcMaster University
FundersCilagDeutsche ForschungsgemeinschaftTeva Pharmaceutical IndustriesRegeneron PharmaceuticalsSanofiAstraZenecaPfizer
KeywordsMedicineAsthmaImmunologyEosinophiliaEosinophilDiseaseInternal medicine

Abstract

fetched live from OpenAlex

25 years after publication of a clinical trial in The Lancet on the anti-IL-5 antibody mepolizumab in individuals with allergic asthma, evidence has accumulated that the pathogenetic role of eosinophils is fundamentally different between asthma phenotypes. In the allergen-driven form of asthma, often starting in childhood or during adolescence (ie, early onset asthma), blood eosinophil counts are variable, mainly dependent on allergen exposure, and play only a minor role (as a so-called sidekick) in allergen-induced asthma symptoms. By contrast, eosinophils are persistently elevated and are crucial drivers of the disease in the intrinsic (eosinophilic) form of asthma, which typically starts in adulthood (ie, adult-onset asthma). These data suggest that eosinophilia should not be considered a treatable trait in people with chronic airway diseases, but only a complement to an accurate clinical diagnosis. This evidence has major implications for the diagnosis of asthma phenotypes and the treatment of asthma (eg, choice of the right biologic).

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)0.002
metaresearch head score (Gemma)0.006
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.065
GPT teacher head0.386
Teacher spread0.321 · 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

Citations21
Published2025
Admission routes1
Has abstractyes

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