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Record W2753097505 · doi:10.1183/13993003.01103-2017

The paradoxes of asthma management: time for a new approach?

2017· review· en· W2753097505 on OpenAlexaff
Paul M. O’Byrne, Christine Jenkins, Eric D. Bateman

Bibliographic record

VenueEuropean Respiratory Journal · 2017
Typereview
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
FundersAstraZeneca
KeywordsMedicineAsthmaAsthma managementIntensive care medicineImmunology

Abstract

fetched live from OpenAlex

-agonist (SABA) use, instead of using controller medication. This behaviour might be attributable to several paradoxes in the current treatment approach. These paradoxes include the recommended use of a SABA bronchodilator alone at Global Initiative for Asthma (GINA) step 1, despite the fact that asthma is a chronic inflammatory disease. At step 1, the patient has autonomy and their perception of need and disease control is accepted, but at higher asthma treatment steps a fixed-dose approach is recommended, irrespective of symptom severity. The unintended consequence is the establishment of a pattern of early over-reliance on SABA. New approaches that avoid these paradoxes are needed, such as patient-adjusted therapy, in which patients adopt a symptom-driven approach using a combination reliever/controller. We propose that SABA reliever monotherapy should be replaced by a combination of inhaled corticosteroid (ICS) and formoterol, or similar rapid-onset bronchodilator, as reliever therapy for patients at GINA steps 1 or 2. This will ensure early and more regular administration of a controller medication. However, a significant body of clinical data will be needed before this approach can be approved by regulatory authorities.

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)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.106
GPT teacher head0.363
Teacher spread0.257 · 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
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

Citations176
Published2017
Admission routes1
Has abstractyes

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