Rural treatment of acute cardiogenic pulmonary edema: applying the evidence to achieve success with failure.
Bibliographic record
Abstract
Rural management of acute cardiogenic pulmonary edema should be based on avoidance of adverse outcomes such as in-hospital mortality, the need for intensive care unit care, and the need for intubation and mechanical ventilation. Current evidence suggests that early noninvasive continuous positive airway pressure and early aggressive preload reduction with intravenous nitroglycerin are first-line interventions. Afterload reduction with sublingual captopril, with or without nitroglycerin, improves outcomes and is a second-line intervention. Furosemide is associated with adverse outcomes when used alone and should be given only after vasodilator therapy as a third-line intervention. Inotropes should be used only with demonstrably poor perfusion as they do not improve outcomes and may indeed be associated with increased mortality. Concurrent vasodilator therapy should be considered as soon as possible. Morphine should not be used as it is associated with adverse outcomes. If sedation is desirable, benzodiazepines should be considered.
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 | 0.016 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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".