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Record W2111386057 · doi:10.4187/respcare.02275

A Comparative Study of 3 Portable Oxygen Concentrators During a 6-Minute Walk Test in Patients With Chronic Lung Disease

2013· article· en· W2111386057 on OpenAlexaff
Carole LeBlanc, L. Lavallee, Judy King, Rebecca E Taylor-Sussex, Andrew Woolnough, Douglas McKim

Bibliographic record

VenueRespiratory Care · 2013
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of OttawaOttawa Hospital
Fundersnot available
KeywordsMedicinePhysical therapyCOPDEclipseInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this study was to compare the ability of 3 portable oxygen concentrators (POCs) to maintain S(pO2) ≥ 90% during exercise in patients with chronic lung disease. METHODS: Twenty-one subjects with chronic lung disease (18 with COPD, 3 with pulmonary fibrosis) and documented room air exertional S(pO2) ≤ 85% performed four 6-min walk tests: a control walk using the subject's current oxygen system and prescribed exertional flow rate, and 1 walk with each of the 3 POCs (Eclipse 3, EverGo, and iGo) at their maximum pulse-dose setting. RESULTS: S(pO2) was significantly higher pre-walk and post-walk with the Eclipse 3, compared to the other POCs (all P < .01). The subjects also walked farther and maintained a mean S(pO2) ≥ 90% with the Eclipse 3 (both P < .01), which delivers the largest oxygen bolus. The subjects indicated that they preferred the EverGo's physical characteristics, but that the Eclipse 3 responded best to their breathing. The iGo was rated less favorably than Eclipse 3 or EverGo. CONCLUSIONS: The Eclipse 3 was best at meeting the subjects' clinical needs. POC users should be appropriately tested during all activities of daily living, to ensure adequate oxygenation. The healthcare provider should provide information and help to direct the subject toward the most clinically appropriate oxygen system, while being mindful of the patient's preferences and lifestyle. (Clinicaltrials.gov NCT01653730).

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
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
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.272
Teacher spread0.260 · 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

Citations18
Published2013
Admission routes1
Has abstractyes

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