<p>Mid-Term Effects of Pulmonary Rehabilitation on Cognitive Function in People with Severe Chronic Obstructive Pulmonary Disease</p>
Bibliographic record
Abstract
Purpose: Cognitive dysfunction is a common impairment associated with COPD. However, little is known about 1) its prevalence among those subjects referred for pulmonary rehabilitation (PR), 2) how it may affect the benefit of PR, 3) whether PR improves cognitive function and 4) whether cognitive dysfunction affects the usability of telehealth technology usually used to deliver in-home PR. Patients and Methods: 0.9 L (IQR 0.7 to 1.1)) participated in this multicenter observational study and performed 24 sessions of PR. The Montreal Cognitive Assessment tool (MoCA) was used to assess the occurrence of mild cognitive dysfunction (using a screening cutoff <26) at baseline, completion of PR and 3 months of follow-up. Results: Mild cognitive dysfunction was found in 41 subjects (73% [95% CI: 60 to 83%]). The MoCA score significantly improved following PR for those people with baseline mild cognitive dysfunction (p<0.01). There was no significant difference in clinical outcomes between those people with or without mild cognitive dysfunction following PR nor in the proportion of subjects who were autonomous in using the telemonitoring system (83% compared with 71%, p=0.60). Conclusion: Mild cognitive dysfunction is highly prevalent among those people with COPD referred for PR but does not affect the benefits of PR nor the usability of a telemonitoring system. PR may improve short- and mid-term cognitive function for those people who experience mild cognitive dysfunction at the time they are referred to PR.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".