Contemporary Concise Review 2024: Chronic Obstructive Pulmonary Disease
Bibliographic record
Abstract
SUMMARY OF KEY POINTS Non‐smoking COPD is common in LMICs, especially in women. Biomass fuel and air pollution are major risk factors with distinct pathophysiology. The ‘eosinophilic’ endotype in COPD is biologically distinct from asthma. PRISm, FEV1/FVC Z‐scores, and quantitative CT improve early COPD detection. Dupilumab (anti‐IL‐4/IL‐13) improved exacerbations and lung function in COPD with blood eosinophils ≥ 300 cells/μL. Mechanisms are currently being investigated. Smoking cessation remains pivotal. Nicotine metabolite ratio (NMR) can guide pharmacotherapy. Cytisine and varenicline are effective; e‐cigarettes pose safety concerns. Mood disorders and dysfunctional breathing are common in COPD. Addressing these can reduce symptom burden and improve quality of life. Comorbidity management, particularly of cardiovascular risk, obesity, and sleep‐disordered breathing, is integral to holistic COPD care.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.008 |
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".