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Record W1895261367 · doi:10.1111/jocs.12183

Survival Following Traumatic Ventricular Rupture and Prolonged Ambulance Transport in a Patient With Previous Coronary Artery Bypass Surgery

2013· article· en· W1895261367 on OpenAlexaff
Tristan Juvet, Abdulwahab Al-Khalifa, Steve K. Singh

Bibliographic record

VenueJournal of Cardiac Surgery · 2013
Typearticle
Languageen
FieldMedicine
TopicTrauma Management and Diagnosis
Canadian institutionsMcMaster UniversityHamilton General Hospital
Fundersnot available
KeywordsMedicineBypass graftingArteryMedian sternotomyHemodynamicsCardiologySurgeryCoronary artery bypass surgeryCardiac surgeryInternal medicineAnesthesia

Abstract

fetched live from OpenAlex

Patients presenting with traumatic cardiac rupture are unlikely to survive lengthy transfers from the trauma scene to a hospital. However, in patients with a previous sternotomy, adhesions may divert cardiac hemorrhage, allowing hemodynamic management to be successful. We present an 83-year-old male with a history of coronary artery bypass grafting (CABG) who sustained a right ventricular rupture. He underwent an immediate redo sternotomy and was discharged 10 days postoperatively with no complications.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.219
Teacher spread0.205 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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