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Record W2115177951 · doi:10.1177/108925320200600109

Fat Embolism: A Central Nervous System Problem

2002· article· en· W2115177951 on OpenAlexaff
Robert J. Byrick

Bibliographic record

VenueSeminars in Cardiothoracic and Vascular Anesthesia · 2002
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineFat embolismCardiopulmonary bypassMagnetic resonance imagingIschemiaInflammationFat embolism syndromeEdemaNeurocognitiveCardiologyCerebral circulationIschemic injuryInternal medicineAnesthesiaRadiologyCognition

Abstract

fetched live from OpenAlex

Microvascular fat in the systemic circulation is a common postmortem finding in patients dying after trauma or cardiopulmonary bypass. The causative relationship between the microvascular fat and tissue inflammation, ischemia, and injury is unclear. Characteristic clinical lesions on magnetic resonance imaging and evidence in animal models suggest that focal cerebral edema may be associated with fat microemboli. This fat occludes cerebral vessels 5-15 microns in diameter, after passing through either the lung or filters in cardiopulmonary bypass circuits. Microvascular fat may directly cause the injury or may be a ‘second hit’ phenomenon, thus aggravating a pre-existing inflammatory reaction to injury, indirectly causing cerebral injury and adverse neurocognitive outcomes after cardiac surgery and trauma.

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)0.001
metaresearch head score (Gemma)0.005
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: Review · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.009
GPT teacher head0.237
Teacher spread0.228 · 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
GenreReview

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

Citations4
Published2002
Admission routes1
Has abstractyes

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