The quality of medical care during an acute exacerbations of chronic obstructive pulmonary disease.
Bibliographic record
Abstract
Chronic obstructive pulmonary disease (COPD) is a significant cause of global morbidity and mortality, with a substantial economic impact. Acute exacerbations of COPD (AECOPD) represent a dramatic event in the course of the disease; is an important cause of morbidity and the fourth cause of mortality worldwide. During the hospitalization for AECOPD mortality is 10%. AECOPD are also associated with a significant reduction of functional capacity and health-related quality of life. Despite these alarming evidence-based data the response of the healthcare system globally is not adequate to the gravity of the situation. A recently published study done in a Canadian hospital reveals that the treatment of the AECOPD is sub-optimal. The management of the COPD exacerbations prior, during and after the hospitalization showed inadequate adherence of the physicians (respirologists, internists and hospitalists) to the current guidelines. This review outlines the worrisome findings of this study and the proposed measures suggested by the authors in order to optimize the management of AECOPD.
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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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".