Update on advanced life support and resuscitation techniques.
Bibliographic record
Abstract
PURPOSE OF REVIEW: This article is a review of the most recent findings in resuscitation techniques in advanced cardiac life support. The article focuses particularly on the period after July 1, 2003, but relevant new findings before this period are also included. RECENT FINDINGS: Randomized clinical trial results suggest that the current cardiopulmonary resuscitation and advanced cardiac life support guidelines may need to be modified. Early defibrillation during the electrical phase of cardiac arrest remains the most crucial intervention, but performing cardiopulmonary resuscitation before defibrillation may be more effective, as compared with immediate defibrillation, during the circulatory phase of cardiac arrest. Biphasic waveforms are superior to monophasic damped sine waveforms in achieving defibrillation. Novel cardiopulmonary resuscitation methods that increase negative intrathoracic pressure promote an increase in blood flow return to the heart. These devices have been correlated with improved short-term survival rates during the circulatory phase of cardiac arrest. Vasopressin administration, given alone or in combination with epinephrine, should be considered during the circulatory phase of out-of-hospital cardiac arrest, particularly in patients presenting with asystole as the initial rhythm. Induction of hypothermia during the metabolic phase in cardiac arrest survivors improves 6-month survival rates and neurologic outcomes. SUMMARY: Strategies to improve the low survival outcomes of cardiac arrest victims are available. Clinical trials testing these strategies suggest benefit from certain interventions but are not definitive. These different therapeutic interventions should be performed in a phase-specific-oriented fashion according to the three-phase time-sensitive model of cardiac arrest.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.016 |
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".