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Record W3093427492 · doi:10.2147/jaa.s279061

<p>Asthma and COVID-19: In Defense of Evidence-Based SABA</p>

2020· article· en· W3093427492 on OpenAlexaff
Israel Amirav, Michael T. Newhouse

Bibliographic record

VenueJournal of Asthma and Allergy · 2020
Typearticle
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsMcMaster UniversitySt. Joseph's HospitalSt. Joseph’s Healthcare HamiltonUniversity of Alberta
Fundersnot available
KeywordsMedicineCoronavirus disease 2019 (COVID-19)Asthma2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyImmunologyInternal medicine

Abstract

fetched live from OpenAlex

There have recently been major objections to the use of short-acting beta-agonist (SABA) in episodic acute asthma culminating in a call for replacing SABA with combination of inhaled corticosteroids and long-acting beta-agonists despite little evidence supporting this point of view. It is regrettable to note that this attack on SABA occurs in the midst of an unprecedented demand for, and shortage of, SABA inhalers during the current COVID-19 pandemic, and the worldwide efforts to increase SABA supplies. In this commentary, we defend the well-established role of SABA and argue that the call for the phase out of SABA is inappropriate, since it is not solidly evidence based.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.357

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.051
GPT teacher head0.296
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 teacher head, 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

Citations7
Published2020
Admission routes1
Has abstractyes

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