MétaCan
Menu
Back to cohort
Record W4408999534 · doi:10.1080/24745332.2025.2467038

Harmonizing domiciliary oxygen therapy in Canada

2025· article· en· W4408999534 on OpenAlexaffabout
Gokul Vidyasankar, Lisa Wickerson, Sharon Lee, Roberto Zapata

Bibliographic record

VenueCanadian Journal of Respiratory Critical Care and Sleep Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsCystic Fibrosis CanadaUniversity of TorontoUniversity Health NetworkMemorial University of Newfoundland
Fundersnot available
KeywordsOxygen therapyIntensive care medicineOxygenMedicineChemistryInternal medicine

Abstract

fetched live from OpenAlex

Domiciliary oxygen therapy is routinely prescribed for patients with chronic respiratory disease and evidence of hypoxemia, including chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD). Despite the evidence supporting this practice, there is considerable variability in medical and reimbursement criteria across Canada. Some provinces offer universal financial support toward domiciliary oxygen for those who need it, whereas other provinces provide coverage only if certain income criteria are met. This heterogeneity leads to inequality of care from one region to the next. Surveys of patients, caregivers and healthcare providers such as those recently developed by the Canadian Pulmonary Fibrosis Foundation highlight many of the real-life challenges around providing domiciliary oxygen. The purpose of this paper is to review key evidence around domiciliary oxygen in COPD and ILD, provide an overview of the Canadian landscape, and recommend harmonized financial and medical criteria to improve the equity of care for patients across the country.

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)0.009
metaresearch head score (Gemma)0.026
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.165
Threshold uncertainty score0.969

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.008
Science and technology studies0.0040.002
Scholarly communication0.0050.001
Open science0.0030.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.040
GPT teacher head0.289
Teacher spread0.249 · 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
GenreOther

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 routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Respiratory Critical Care and Sleep MedicineSame topicRespiratory Support and MechanismsFrench-language works237,207