Current Controversies in Chronic Obstructive Pulmonary Disease. A Report from the Global Initiative for Chronic Obstructive Lung Disease Scientific Committee
Bibliographic record
Abstract
Chronic obstructive pulmonary disease (COPD) is a preventable and treatable leading cause of worldwide morbidity and mortality that markedly increases healthcare costs. Smoking cessation, vaccinations, supplemental oxygen for hypoxemic patients, and lung volume reduction surgery in selected patients all improve survival; smoking cessation also attenuates disease progression. Several inhaled, oral, and systemically administered drugs improve lung function, decrease the frequency and severity of COPD exacerbations, and improve patients’ quality of life. Pulmonary rehabilitation, noninvasive ventilation, and lung volume reduction also improve outcomes in selected patients. Despite these efforts, COPD continues to claim many lives and disable many more. COPD is a complex process with protean pulmonary and nonpulmonary manifestations punctuated by episodic escalations of respiratory symptoms in a predominately older patient population with multiple comorbid conditions. The major objective of the Global Initiative for Chronic Obstructive Lung Disease (GOLD) is to improve the diagnosis, assessment, and prevention of COPD by increasing awareness while simultaneously stimulating new research. GOLD publishes an annual report that provides recommendations; however, it is clear that some major issues regarding COPD management are not certain and that limited or contradictory data exist in important areas that require further information to guide recommendations. The GOLD scientific committee recently conducted a public forum at which controversial topics were discussed to define the current gaps in knowledge regarding the diagnosis, assessment, and treatment of COPD. These topics included 1) diagnosis and assessment, 2) risk factors for disease development, 3) advances in treatment of the stable patient, and 4) the assessment and treatment of exacerbations. This perspective summarizes that discussion and provides information about current research needs.
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 | 0.040 | 0.069 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.023 | 0.034 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".