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Record W2765155828 · doi:10.1183/13993003.01865-2017

Morphine to relieve exertional dyspnoea in COPD: myth, dream or reality?

2017· letter· en· W2765155828 on OpenAlexaff
Louis Laviolette, Pierantonio Laveneziana

Bibliographic record

VenueEuropean Respiratory Journal · 2017
Typeletter
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicineCOPDDeconditioningQuality of life (healthcare)CardiologyExertional dyspneaPhysical therapyInternal medicineAnginaIntensive care medicineMyocardial infarction

Abstract

fetched live from OpenAlex

Dyspnoea, “the subjective experience of breathing discomfort that consists of qualitatively distinct sensations that vary in intensity” [1], is ever present in patients with chronic obstructive pulmonary disease (COPD) and affects almost all aspects of their daily lives [2]: up 60% of patients have limitations in normal physical activity and more than a third are restricted in family activities [2]. Dyspnoea is usually the earliest and most troublesome complaint for which these patients seek medical attention. As the underlying disease advances, dyspnoea progresses relentlessly, invariably leading to a gradual decrease in activity levels and associated skeletal muscle deconditioning and impoverished quality of life [2]. Dyspnoea also has strong prognostic value for mortality: stronger than the forced expiratory volume in 1 s in patients with COPD or angina in patients with heart disease [3, 4]. Opioids show promise in managing exertional dyspnoea; safety of widespread use in COPD patients remains unproven

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.013
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0130.010
Insufficient payload (model declined to judge)0.0030.004

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 head0.067
GPT teacher head0.341
Teacher spread0.274 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2017
Admission routes1
Has abstractyes

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