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Record W4233373487 · doi:10.24875/brn.m17000014

The Debate About the Use of Long-Acting Inhaled ß-agonists in Asthma

2017· article· en· W4233373487 on OpenAlexaff
Paul M. O’Byrne

Bibliographic record

VenueBarcelona Respiratory Network · 2017
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsAsthmaMedicineInternal medicine

Abstract

fetched live from OpenAlex

Long-acting inhaled β 2 -agonists (LABAs) have been available for the treatment of asthma for almost 30 years; there is, however, concern about their safety with regular use.There is widespread agreement that LABA should not be used as monotherapy by asthmatic patients, because, while they are very effective in providing symptom relief, they have no inherent anti-inflammatory properties, and may increase the risk of asthma mortality.When used together with inhaled corticosteroids (ICS), ideally in the same inhaler, ICS/ LABA combinations have been shown to improve asthma control and reduce risk of asthma exacerbations.Concerns about the risks of severe asthma related events, such as hospitalization, intubation or death, associated with the use of ICS/LABA combinations have been allayed by the results of several recent large randomized safety trials conducted both in adults and children.(BRN Rev.

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)0.060
metaresearch head score (Gemma)0.100
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.060
Threshold uncertainty score0.315

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0600.100
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.002
Science and technology studies0.0030.016
Scholarly communication0.0070.010
Open science0.0040.004
Research integrity0.0240.040
Insufficient payload (model declined to judge)0.0080.004

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 head0.079
GPT teacher head0.323
Teacher spread0.245 · 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
GenreCommentary

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
Published2017
Admission routes1
Has abstractyes

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