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Record W4387392283 · doi:10.1177/14799731231202257

How can the findings of the EMAX trial on long-acting bronchodilation in chronic obstructive pulmonary disease be applied in the primary care setting?

2023· review· en· W4387392283 on OpenAlexaff
Edward Kerwin, Paul Jones, Leif Bjermer, François Maltais, I. Boucot, Ian Naya, David A. Lipson, Chris Compton, Lee Tombs, Claus Vogelmeier

Bibliographic record

VenueChronic Respiratory Disease · 2023
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicineLamaCOPDExacerbationBronchodilationBronchodilatorIndacaterolBronchodilator AgentsMuscarinic antagonistSalmeterolPopulationIntensive care medicineInternal medicinePhysical therapyMuscarinic acetylcholine receptorAsthma

Abstract

fetched live from OpenAlex

This review addresses outstanding questions regarding initial pharmacological management of chronic obstructive pulmonary disease (COPD). Optimizing initial treatment improves clinical outcomes in symptomatic patients, including those with low exacerbation risk. Long-acting muscarinic antagonist/long-acting β 2 -agonist (LAMA/LABA) dual therapy improves lung function versus LAMA or LABA monotherapy, although other treatment benefits have been less consistently observed. The benefits of dual bronchodilation in symptomatic patients with COPD at low exacerbation risk, and its duration of efficacy and cost effectiveness in this population, are not yet fully established. Questions remain on the impact of baseline symptom severity, prior treatment, degree of reversibility to bronchodilators, and smoking status on responses to dual bronchodilator treatment. Using evidence from EMAX (NCT03034915), a 6-month trial comparing the LAMA/LABA combination umeclidinium/vilanterol with umeclidinium and salmeterol monotherapy in symptomatic patients with COPD at low exacerbation risk who were inhaled corticosteroid-naïve, we describe how these findings can be applied in primary care.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.814
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.003
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 head0.059
GPT teacher head0.340
Teacher spread0.282 · 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 designOther design
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

Citations2
Published2023
Admission routes1
Has abstractyes

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