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Record W3004087725 · doi:10.1111/cea.13569

Origins of allergic airway disease and dealing with environmental allergens

2020· editorial· en· W3004087725 on OpenAlexfundno aff
Graham Roberts

Bibliographic record

VenueClinical & Experimental Allergy · 2020
Typeeditorial
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsAsthmaAllergyMedicineAllergenAir purifierPlaceboImmunologyEnvironmental healthPediatricsIntensive care medicineAlternative medicinePathology

Abstract

fetched live from OpenAlex

Children and adolescents should be safe in their schools. Recent coroners’ cases have emphasized that this is not the case at the moment.1 In an editorial in this month's issue of the Journal, The British Society of Allergy and Clinical Immunology (BSACI), Allergy UK and Anaphylaxis Campaign advocate for simple changes that could be put into place.2 This needs a joined-up approach from the BSACI, the patient support groups and governmental agencies, particularly Department for Education and Department of Health and Social Care. The removal of environmental cat allergen ought to improve the control of cat allergen driven asthma. However, to date approves to controlling environmental allergen exposure has been suboptimal.3 Gherasim et al assess the ability of an air cleaner (Intense Pure Air X) to control lung function responses to cat allergen exposure in an environmental exposure chamber (Fig 1).4 This approach provides optimal control on exposure, minimizing variability with the experimental system and promoting sensitivity to detecting the impact of an intervention. Using a randomized, cross-over, and double-blind placebo-controlled approach, they studied 24 participants with mild asthma and cat allergy. Significantly, less participants experienced an early asthmatic response with active than placebo air cleaner (hazard ratio, 0.10; P = .0019). They also had significantly less late-phase reactions (P = .0024). So impressive results but will there be similar benefit in a real life? There are potentially complicated interrelationships between season of birth and respiratory tract infections and the development of childhood asthma and allergic disease.5 Almqvist et al6 have examined the issue within a population-based setting. They used the nationwide Swedish Medical Birth, Patient and Prescribed Drug Registers. They found that children born during autumn and winter were more likely to have asthma or wheeze after 2 years of age (hazard ratio 1.24, 95% confidence interval 1.17, 1.33). This relationship was partly mediated by lower respiratory infections. While season was also associated with allergic rhinoconjunctivitis, it was not mediated by respiratory tract infections. There are very different expressions of respiratory disease in male and females. While asthma is predominately a male disease in early life, equal numbers of male and females are affected from adolescence. Lacerda et al have examined the underlying mechanisms for this using an experimental mouse model of lung allergic inflammation.7 They found sex-linked differences in inflammation and remodelling linked to weigh gain.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.315
Teacher spread0.293 · 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 designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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