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Record W2947753544 · doi:10.1097/spc.0000000000000434

Supplemental oxygen for the management of dyspnea in interstitial lung disease

2019· review· en· W2947753544 on OpenAlexafffund
Michele R. Schaeffer, Yannick Molgat‐Seon, Christopher J. Ryerson, Jordan A. Guenette

Bibliographic record

VenueCurrent Opinion in Supportive and Palliative Care · 2019
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsMedicineSupplemental oxygenInterstitial lung diseaseIntensive care medicineOxygen therapyOxygen deliveryLung diseaseOxygenLungPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This article presents a summary of the evidence relating to supplemental oxygen use for the management of dyspnea in patients with interstitial lung disease (ILD). RECENT FINDINGS: In contrast to the majority of the available literature, recent findings suggest that supplemental oxygen can significantly reduce exertional dyspnea in ILD. ILD patients' need for supplemental oxygen often surpasses the levels that the most commonly used oxygen delivery systems provide. More effective delivery of supplemental oxygen has the potential for greater relief of dyspnea. There is also evidence suggesting that indications for supplemental oxygen may differ in ILD compared with other chronic lung diseases. SUMMARY: Large clinical trials are needed to determine if the reductions in dyspnea with supplemental oxygen observed in the laboratory setting can translate into meaningful benefits in everyday life for patients with ILD. More effective and practical oxygen delivery systems are needed. Future guidelines should consider including recommendations addressing the potential role of supplemental oxygen for mildly hypoxemic patients with ILD as well as recommendations specific to supplemental oxygen use for exercise training in ILD.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.849
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.133
GPT teacher head0.458
Teacher spread0.326 · 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

Citations6
Published2019
Admission routes2
Has abstractyes

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