MétaCan
Menu
← Back to cohort

CAT and pulmonary rehabilitation: Where is the gain?

2015· article· en· W2564848705 on OpenAlexaff
Marilyn Houle Péloquin, Mélina Lalande Gauthier, Benoit Sauvageau, Claude Poirier

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicinePulmonary rehabilitationCOPDQuality of life (healthcare)Pulmonary diseaseAnxietyPhysical therapyRehabilitationInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Introduction: Pulmonary rehabilitation (PR) plays an important part on the quality of life of chronic obstructive pulmonary disease (COPD) patients. The COPD Assessment Test (CAT) questionnaire is validated to respond positively on quality of life after PR. The goal of the study is to explore on which domain (question) of the CAT questionnaire will PR have an significant impact. Methods: CAT questionnaire has been administered to 72 patients (41 women aged 68 +/- 6 yrs ; 31 men aged 60 yrs +/- 8 yrs) with COPD (FEV1 predicted average 54.93% +/- 16.92%) who completed a 8 week PR program. The components of the CAT questionnaire were analysed pre and post PR. Results: The mean CAT score before PR was 18.65 points, with a clinically significant change of – 3.07 points after PR. Significant changes were found for question 4 (P < 0.0001), 5 (P= 0.02), 6 (P=0.03) and 8 (P < 0.0001). Conclusion: Results confirmed the hypothesis of a significant improvement on CAT questions 4, 5, 6, and 8 after PR. These domains are partly related to daily activities and exercise tolerance. This study confirms the positive impact of PR on patient9s confidence with physical activity and anxiety. Long term modifications of these scores would be of interest.

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)0.010
metaresearch head score (Gemma)0.019
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: Commentary · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0040.007
Open science0.0010.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0310.004

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 head0.025
GPT teacher head0.309
Teacher spread0.284 · 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
GenreCommentary

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
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicChronic Obstructive Pulmonary Disease (COPD) Research→French-language works237,207→