The COPD assessment test: a systematic review
Bibliographic record
Abstract
The COPD assessment test (CAT) is a self-administered questionnaire that measures health-related quality of life. We aimed to systematically evaluate the literature for reliability, validity, responsiveness and minimum clinically important difference (MCID) of the CAT. Multiple databases were searched for studies analysing the psychometric properties of the CAT in adults with chronic obstructive pulmonary disease. Two reviewers independently screened, selected and extracted data, and assessed methodological quality of relevant studies using the COSMIN checklist. From 792 records identified, 36 studies were included. The number of participants ranged from 45 to 6469, mean age from 56 to 73 years, and mean forced expiratory volume in 1 s from 39% to 98% predicted. Internal consistency (reliability) was 0.85-0.98, and test-retest reliability was 0.80-0.96. Convergent and longitudinal validity using Pearson's correlation coefficient were: SGRQ-C 0.69-0.82 and 0.63, CCQ 0.68-0.78 and 0.60, and mMRC 0.29-0.61 and 0.20, respectively. Scores differed with GOLD stages, exacerbation and mMRC grades. Mean scores decreased with pulmonary rehabilitation (2.2-3 units) and increased at exacerbation onset (4.7 units). Only one study with adequate methodology reported an MCID of 2 units and 3.3-3.8 units using the anchor-based approach and distribution-based approach, respectively. Most studies had fair methodological quality. We conclude that the studies support the reliability and validity of the CAT and that the tool is responsive to interventions, although the MCID remains debatable.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.041 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.015 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".