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Record W7161989498 · doi:10.82308/32943

Components of the Chronic Obstructive Pulmonary Disease (COPD) Assessment Test associated with cardiopulmonary exercise test outcomes among people with Global Initiative for Obstructive Lung Disease grade 1 or 2, group A COPD

2023· dissertation· en· W7161989498 on OpenAlexaboutno aff
Saad Razzaq

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
Fundersnot available
KeywordsCOPDPulmonary diseaseObstructive lung diseaseCardiopulmonary exercise testCohortRetrospective cohort studyTest (biology)Gold standard (test)Cohort study

Abstract

fetched live from OpenAlex

It remains unknown whether chronic obstructive pulmonary disease (COPD) Assessment Test (CAT) sub-items, particularly the breathlessness and pulmonary symptoms sub-items, carry useful information regarding the existence of impaired exercise tolerance among people with COPD. This retrospective study used data from the Canadian Cohort Obstructive Lung Disease (CanCOLD) study to test the hypothesis that people with Global Initiative for Obstructive Lung Disease (GOLD) grade 1 (mild) or 2 (moderate), group A COPD with (i) higher compared to lower CAT breathlessness sub-item scores or (ii) higher compared to lower CAT pulmonary symptom sub-items cluster scores have lower exercise tolerance (peak rate of O2 consumption [V’O2peak]) in association with greater abnormalities in exercise physiological and perceptual responses. To this end, we compared physiological and perceptual responses at the symptom-limited peak of incremental cardiopulmonary cycle exercise testing amongst 310 people with GOLD grade 1 (n=209) or 2 (n=101), group A COPD with (i) CAT breathlessness sub-item score of 0 (n=154) versus 1 out of 5 (n=156) or (ii) CAT pulmonary symptoms sub-item cluster score of <5 (n=247) versus 5 out of 20 (n=63). The optimal cut-point for each of the CAT breathlessness sub-item score and the CAT pulmonary symptoms sub-item cluster score was one that best predicted (according to the Youden Index) an individual with GOLD grade 1 or 2, group A COPD of having an abnormally low V’O2peak, defined as <85% of the predicted reference value. We found that people with a higher compared to lower CAT breathlessness sub-item score or a higher compared to lower CAT pulmonary symptoms cluster score had broadly similar baseline characteristics (including pulmonary function) but nevertheless presented with significantly lower exercise tolerance (V’O2peak) in association with greater critical inspiratory constraints and exertional breathlessness. From a clinical management perspective, the results our study suggest that a CAT breathlessness sub-item score 1 or a CAT pulmonary symptoms sub-item cluster score 5 might help healthcare providers identify people with GOLD grade 1 or 2, group A COPD with clinically relevant exercise intolerance as manifested by greater critical inspiratory constraints and exertional breathlessness that might otherwise be overlooked and that might have a preferential response to available inhaled respiratory medication(s)

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.280

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.021
GPT teacher head0.308
Teacher spread0.287 · 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 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
Published2023
Admission routes1
Has abstractyes

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