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Record W2073163341 · doi:10.1186/cc7226

Patients with an automatic external defibrillator applied by a bystander in a public setting have a strikingly higher frequency of ventricular tachycardia/ventricular fibrillation than observed cardiac arrests in the home

2009· article· en· W2073163341 on OpenAlexaff
ML Weisfeldt, Colleen M. Sitlani, Thomas D. Rea, Dianne L. Atkins, TP Aufderheide, Steven C. Brooks, Blair L. Bigham, Christopher R. Foerster, Richard A. Gray, Patrick Moran, Joseph P. Ornato, J. Powell, Lois Van Ottingham, LJ Morrison

Bibliographic record

VenueCritical Care · 2009
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsRegional Municipality of DurhamSt. Michael's Hospital
FundersInstituto de Salud Carlos IIIIntensive Care Society
KeywordsMedicineVentricular fibrillationVentricular tachycardiaCardiologyInternal medicineBystander effectIncidence (geometry)Sudden cardiac death

Abstract

fetched live from OpenAlex

The overall incidence of ventricular tachycardia/ventricular fibrillation (VT/VF) as the first recorded electrical rhythm in out-of-hospital cardiac arrest has declined from ~70% to ~25% over the past 30 years. This change has been attributed to primary and secondary prevention of cardiovascular disease and VT/VF. We evaluated whether the incidence of VT/VF as first recorded rhythm differed by location among bystander-applied automatic external defibrillator (AED) patients and emergency medical services (EMS)-witnessed cardiac arrests.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.015
GPT teacher head0.262
Teacher spread0.247 · 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 designObservational
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

Citations1
Published2009
Admission routes1
Has abstractyes

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