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Record W4416915840 · doi:10.58931/crt.2025.1s0115

The Role of Airway Clearance in Managing Chronic Muco‑Obstructive Lung Disease

2025· article· W4416915840 on OpenAlexafffundabout
Jeffrey Marciniuk, Sophie Bergeron-Kermelly, Pierre F. Landry, Darcy D. Marciniuk

Bibliographic record

VenueCanadian Respirology Today · 2025
Typearticle
Language
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsDalhousie UniversityUniversité LavalUniversity of Saskatchewan
FundersGrifolsOntario Ministry of Health and Long-Term CareSaskatchewan Health Research FoundationRegeneron PharmaceuticalsUniversity of SaskatchewanMinistry of Health, SaskatchewanSanofiMcGill UniversityGlaxoSmithKlineAstraZenecaPfizer
KeywordsChronic bronchitisCOPDCystic fibrosisLung diseaseAirwayBronchitisLungDiseaseObstructive lung disease

Abstract

fetched live from OpenAlex

The impact of chronic muco-obstructive lung diseases is far reaching, contributing to a high symptom burden for patients, in addition to increased utilization of the healthcare system. These impacts are commonly observed in diseases such as chronic obstructive lung disease (COPD), cystic fibrosis (CF), and non-CF bronchiectasis. COPD, a chronic and progressive lung disease characterized by persistent airway obstruction, is one of the three most common causes of death worldwide. The burden of COPD is expected to further increase in the coming decades. Acute exacerbations of COPD (AECOPD) represent the leading cause of disease‑related hospitalizations in Canada and account for the longest mean length of hospital stay of approximately 7.2 days. Currently, COPD costs the Canadian healthcare system, in Canadian dollars, $1.5 billion annually, and is expected to exceed $9.0 billion by 2030. Chronic Bronchitis (CB), a very common condition in patients with COPD, is classically defined as a chronic productive cough lasting at least three months per year for two consecutive years.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.262
Teacher spread0.257 · 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 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

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Respirology TodaySame topicChronic Obstructive Pulmonary Disease (COPD) ResearchFrench-language works237,207