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Record W3215877593 · doi:10.7759/cureus.19851

Refractory Ventricular Fibrillation in Traumatic Cardiac Arrest: A Case Report and Review of the Literature

2021· article· en· W3215877593 on OpenAlexaff
Mohammed K Alageel, Nawaf A Aldarwish, Faisal A Alabbad, Fahad Alotaibi, Mohammed N Almania, Saad M Alshalawi

Bibliographic record

VenueCureus · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsUniversity of British ColumbiaCanadian Association of Nurses in Oncology
Fundersnot available
KeywordsMedicineVentricular fibrillationCardiac tamponadeDefibrillationThoracotomyCardiologyInternal medicineRefractory (planetary science)Sudden cardiac deathAnesthesia

Abstract

fetched live from OpenAlex

Ventricular fibrillation (VF) is a lethal cardiac arrhythmia that leads to cardiac arrest and death. It is especially deadly when it fails to respond to conventional treatment with electrical defibrillation. This arrhythmia is often triggered by acute myocardial ischemia, but in rare cases, it can be precipitated by direct myocardial trauma. Most patients with traumatic cardiac arrest do not survive, but in a minority of patients, an emergency thoracotomy may improve survival by addressing reversible causes such as haemorrhage control, relief of cardiac tamponade, and direct wound closure. We present an unusual case of a traumatic cardiac arrest, presenting with refractory ventricular fibrillation due to a cardiac laceration in a young trauma patient with an isolated chest injury.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.005
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.286
Teacher spread0.274 · 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 designCase report
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

Citations3
Published2021
Admission routes1
Has abstractyes

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