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Public Defibrillation

2004· article· en· W2315794283 on OpenAlexaboutno aff
Judy Powell, Lois Van Ottingham, Eleanor Schron

Bibliographic record

VenueThe Journal of Cardiovascular Nursing · 2004
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood Institute
KeywordsLaypersonMedicineDefibrillationCardiopulmonary resuscitationAutomated external defibrillatorMedical emergencyEmergency medicineRandomized controlled trialEmergency medical servicesCommunity hospitalFirst responderResuscitationInternal medicineNursing

Abstract

fetched live from OpenAlex

The Public Access Defibrillation (PAD) trial was a prospective, randomized, controlled study designed to compare the number of persons surviving to hospital discharge after experiencing an out-of-hospital cardiac arrest (OOH-CA) among "community units" randomized to receive cardiopulmonary resuscitation (CPR) only or CPR plus an automated external defibrillator (AED). In 24 centers across the United States and Canada, 993 community units, composed of 1260 individual facilities, trained more than 19,000 layperson responders in CPR-only or CPR+AED. Survival to hospital discharge in the CPR+AED arm was double that of the CPR-only arm (30 vs 15, P = .03; RR = 2.0, 95% CI [1.07-3.77]). Intense focus on facility infrastructure, including responder recruitment and training, communication, evaluation, and oversight, was necessary for implementing the emergency response systems for the trial. Use of an AED within this structured response system can increase the number of survivors to hospital discharge after OOH-CA. Trained nonmedical responders can use AEDs safely and effectively.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.001

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.

Opus teacher head0.031
GPT teacher head0.267
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations17
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Cardiovascular NursingSame topicCardiac Arrest and ResuscitationFrench-language works237,207