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Record W2778514553 · doi:10.1080/17476348.2018.1419869

The role of beta-blockers in the management of chronic obstructive pulmonary disease

2017· review· en· W2778514553 on OpenAlexafffund
Fernando Sergio Leitão Filho, Nawaf Alotaibi, Kei Yamasaki, David A. Ngan, Don D. Sin

Bibliographic record

VenueExpert Review of Respiratory Medicine · 2017
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsMedicinePulmonary diseaseBETA (programming language)COPDIntensive care medicineInternal medicineCardiology

Abstract

fetched live from OpenAlex

INTRODUCTION: The use of beta-blockers in chronic obstructive pulmonary disease (COPD) is controversial, primarily due to concerns that they may worsen lung function and attenuate bronchodilator response. Areas covered: This review summarizes the reasons for and against the use of beta-blockers in COPD by evaluating the literature on the effects of these drugs on lung function, exacerbation rate, and mortality. The safety of beta-blockers in COPD patients with concomitant heart failure, an entity that is not always distinguishable from COPD exacerbations, is also explored. Expert commentary: The use of cardioselective beta-blockers appears safe in the management of cardiac comorbidities associated with COPD and may lower exacerbation and mortality risk. There is a growing body of evidence demonstrating the safety of beta-blockers in patients with acute heart failure, acute respiratory failure or sepsis, entities that could occur simultaneously with COPD exacerbations. However, randomized controlled trials are still lacking to confirm these results.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.712
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.059
GPT teacher head0.403
Teacher spread0.344 · 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

Citations11
Published2017
Admission routes2
Has abstractyes

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