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Record W2074951753 · doi:10.1177/1089253210378177

Panvascular Inflammation and Mechanisms of Injury in Perioperative CNS Outcomes

2010· review· en· W2074951753 on OpenAlex
John M. Murkin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSeminars in Cardiothoracic and Vascular Anesthesia · 2010
Typereview
Languageen
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineStroke (engine)PerioperativeCarotid endarterectomyConventional PCIIntensive care medicinePercutaneous coronary interventionNeurocognitiveCardiologyInflammationDiseaseEndarterectomyInternal medicineSurgeryCarotid arteriesMyocardial infarction

Abstract

fetched live from OpenAlex

In this review, the evidence for inflammatory processes as being of fundamental importance in end-organ dysfunction- specifically stroke and neurocognitive impairment in patients undergoing cardiac surgery-will be reviewed. The risk of central nervous system (CNS) impairment following an off-pump cardiac surgery will be contrasted with that of patients undergoing percutaneous coronary intervention (PCI) or medical management, and the role of progression of underlying cerebrovascular disease and, in particular, panvascular inflammation as an accompaniment to unstable angina with attendant risk of stroke will be explored. In addition, the various roles of preoperative comorbidities, aortic atheroma, and the use of selective avoidance of aortic instrumentation as well as carotid endarterectomy as risk modification strategies will be evaluated. Finally, a summary of recommendations for strategies to decrease risk of perioperative CNS impairment will be presented.

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.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.311
Teacher spread0.298 · 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