Burden of Disease in Patients with Mild or Mild-to-Moderate Chronic Obstructive Pulmonary Disease (Global Initiative for Chronic Obstructive Lung Disease Group A or B): A Systematic Literature Review
Bibliographic record
Abstract
Background: Patients with mild or mild-to-moderate chronic obstructive pulmonary disease (COPD), defined as Global Initiative for Chronic Obstructive Lung Disease (GOLD) group A/B, are regarded as having a lower risk of experiencing multiple or severe exacerbations compared with patients classified as GOLD group C/D. Current guidelines suggest that patients in GOLD A/B should commence treatment with a bronchodilator; however, some patients within this population who have a higher disease burden may benefit from earlier introduction of dual bronchodilator or inhaled corticosteroid-containing therapies. This study aimed to provide research-based insights into the burden of disease experienced by patients classified as GOLD A/B, and to identify characteristics associated with poorer outcomes. Methods: A systematic literature review (SLR) was conducted to identify evidence (burden of disease and prevalence data) relating to the population of interest (patients with COPD classified as GOLD A/B). Results: A total of 79 full-text publications and four conference abstracts were included. In general, the rates of moderate and severe exacerbations were higher among patients in GOLD group B than among those in group A. Among patients classified as GOLD A/B, the risk of exacerbation was higher in those with more symptoms (modified Medical Research Council or COPD Assessment Test scales) and more severe airflow limitation (forced expiratory volume in 1 second % predicted). Conclusion: Data from this SLR provide clear evidence of a heavier burden of disease for patients in GOLD B, compared with those in GOLD A, and highlight factors associated with worse outcomes for patients in GOLD A/B.
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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 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.009 |
| Bibliometrics | 0.017 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".