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The safety of long‐acting beta‐agonists: More evidence is needed

2010· article· en· W1585179246 on OpenAlexaff
Shamsah Kazani, James H. Ware, Jeffrey M. Drazen, D. Robin Taylor, Malcolm R. Sears

Bibliographic record

VenueRespirology · 2010
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineBETA (programming language)Pharmacology

Abstract

fetched live from OpenAlex

There is controversy regarding the possibility that long-acting beta-agonists (LABA) may paradoxically contribute adversely to asthma mortality. While studies and meta-analyses indicate increased risk, epidemiological data indicate a slow fall in asthma mortality since the introduction of LABA. Advocates for LABA propose that mandatory simultaneous use of inhaled corticosteroids satisfactorily reduce any potential risk. In the face of lingering doubts, others propose that LABA should be withdrawn from use. In this pro-con article, Kazani et al. provide the rationale for a modified randomized controlled trial that would define the level of risk more clearly, and provide the basis for a clear judgment to be made. Sears argues that current knowledge about the risks associated with LABA, especially when prescribed as monotherapy, provides sufficient evidence for clinicians and licensing authorities alike, and that the logistics and likely outcomes for a large prospective study are unjustified.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score0.312

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 studies0.0000.001
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 head0.022
GPT teacher head0.326
Teacher spread0.304 · 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

Citations11
Published2010
Admission routes1
Has abstractyes

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