Do chronic inhaled steroids alone or in combination with a bronchodilator prolong life in chronic obstructive pulmonary disease patients?
Bibliographic record
Abstract
PURPOSE OF REVIEW: Inhaled corticosteroids with or without long-acting beta2 adrenergic agonists are commonly used to treat patients with chronic obstructive pulmonary disease to attenuate symptoms and to prevent exacerbations. Whether these medications prolong survival is uncertain. RECENT FINDINGS: Inhaled corticosteroids attenuate airway and systemic inflammation, reduce airway hyperreactivity, improve patient symptoms and prevent exacerbations in chronic obstructive pulmonary disease patients. The data on mortality are mixed. A pooled analysis of published randomized controlled trials indicated that inhaled corticosteroids reduced mortality by around 25%; however other studies have failed to show a beneficial effect on mortality. The addition of long-acting beta2 adrenergic agonists to inhaled corticosteroids enhances the clinical effectiveness of these medications and confers incremental mortality benefits to patients. Interestingly, these medications appear to be especially beneficial in reducing cardiovascular morbidity and mortality, though large randomized controlled trials powered specifically on these endpoints are needed to confirm these early findings. SUMMARY: Inhaled corticosteroids, especially with long-acting beta2 adrenergic agonists, reduce airway inflammation and appear to prolong survival in chronic obstructive pulmonary disease patients. They may be particularly effective in reducing cardiovascular morbidity and mortality of patients, pending confirmation by additional clinical studies powered specifically on these endpoints.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".