Bibliographic record
Abstract
Optimal vasopressor support during resuscitation should theoretically enhance aortic diastolic and coronary perfusion pressure as well as coronary and cerebral blood flow/oxygen delivery without increasing cellular oxygen demand. Intravenous vasopressor support, using 1 mg doses of epinephrine every 5 minutes in adults or vasopressin 40 IU, is recommended by American Heart Association Advanced Cardiac Life Support Guidelines to maximize oxygen delivery to the heart and brain and increase cellular high energy phosphate levels. Vasopressin offers theoretical advantages over epinephrine in that it does not increase myocardial oxygen demand significantly and its receptors are relatively unaffected by acidosis. However, unlike epinephrine, it is not a myocardial stimulant. Despite these differences in physiologic actions, two large randomized clinical trials yielded virtually identical overall survival to hospital discharge when these agents were compared during inhospital or out-of-hospital resuscitation in Canada and Europe, respectively. More recent clinical and experimental evidence suggests that a combination of vasopressin and epinephrine used during resuscitation can improve hemodynamics and perhaps survival. The verdict on a combination vasopressor strategy may soon come from a large (>2,000 patients) prospective clinical trial that is underway in France to clarify the role of combination vasopressin/epinephrine therapy in out-of-hospital resuscitation.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.011 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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".