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Record W2140927785 · doi:10.1053/vc.2000.6490

Central Nervous System Complications in Cardiac Surgery: Retrograde Cerebral Perfusion, Pressure, Pulsatility, Temperature, and pH Management During Cardiopulmonary Bypass

2000· article· en· W2140927785 on OpenAlexaff
John M. Murkin

Bibliographic record

VenueSeminars in Cardiothoracic and Vascular Anesthesia · 2000
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineCardiopulmonary bypassHypothermiaCerebral perfusion pressurePerfusionAnesthesiaCardiac surgeryPulsatile flowCardiologyRetrograde perfusionCerebral blood flowInternal medicine

Abstract

fetched live from OpenAlex

Currently, clinical management strategies during cardio pulmonary bypass (CPB) are undergoing profound changes. Renewed interest in normothermic versus hypothermic perfusion during CPB has resulted in appar ently contradictory results regarding patient outcomes. Much effort has been devoted to defining physiological responses of the brain to various alterations during CPB (eg, pH strategy, normothermia versus hypothermia, pulsatile or nonpulsatile perfusion, use of arterial line filtration, circulatory arrest, retrograde cerebral perfu sion). In addition, prospective studies are examining the impact of diverse strategies on neuropsychological and neurological outcomes after CPB, to define optimal management techniques.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.232
Teacher spread0.226 · 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 teacher head, not a consensus.

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
Published2000
Admission routes1
Has abstractyes

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