Roflumilast: a review of its use in the treatment of COPD
Bibliographic record
Abstract
COPD is a progressive condition involving chronic inflammation and parenchymal destruction with resulting airflow limitation. COPD is associated with worsening airflow limitation over time and increased frequency of COPD exacerbations, leading to increased mortality and morbidity. The effects of COPD extend beyond the lungs, as multiple comorbidities may occur with COPD, including cardiovascular disease, diabetes mellitus, osteoporosis, depression, and pneumonia. COPD exacerbations are associated with a rapid worsening of baseline symptoms that requires prompt management and may necessitate hospitalization in the case of a severe episode. Patients with COPD exacerbations require urgent management of symptoms to prevent further worsening, and preventative steps may be taken to help reduce the number and frequency of future exacerbations. Roflumilast is a potent and selective inhibitor of the enzyme phosphodiesterase-4 that targets the systemic inflammation associated with COPD. Roflumilast has a variety of anti-inflammatory effects including decreasing inflammatory mediators and the expression of cell surface markers and inhibition of apoptosis. Several clinical trials evaluating roflumilast in the treatment of COPD have demonstrated significant improvements from baseline versus placebo in lung function, including increases in mean pre- and postbronchodilator forced expiratory volume in 1 second and forced vital capacity. Data suggest that roflumilast reduces moderate to severe exacerbations with the benefit most well established in patients with severe disease. Given this evidence, roflumilast, as part of a combination regimen with long-acting bronchodilators, appears to be a reasonable treatment option for patients with severe to very severe COPD associated with chronic bronchitis and a history of exacerbations.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".