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Record W2017365882 · doi:10.1177/1089253207311159

Cerebral Autoregulation: The Role of CO2 in Metabolic Homeostasis

2007· review· en· W2017365882 on OpenAlexaff
John M. Murkin

Bibliographic record

VenueSeminars in Cardiothoracic and Vascular Anesthesia · 2007
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineCerebral blood flowCerebral autoregulationExacerbationAutoregulationNeuroprotectionHomeostasisIschemiaCerebral perfusion pressureMetabolic acidosisNeurosciencePerfusionAnesthesiaIntensive care medicinePharmacologyCardiologyInternal medicineBlood pressureBiology

Abstract

fetched live from OpenAlex

In this review the role of PaCO2 in regulating cerebral blood flow and flow/metabolism coupling, as well as its impact on intracellular metabolic processes are discussed. Starting with a discussion of alpha-stat versus pH-stat ventilatory management, the apparently contradictory finding of exacerbation of ischemic injury by extracellular acidosis in some experimental models versus others in which neuroprotection is evidenced is discussed and contrasted with the conclusion that the relatively small degree of change in pH associated with clinical changes in PaCO2 is unlikely to directly impact ischemia/reperfusion processes. However, examples of susceptible patients in whom relatively small changes in PaCO2 can produce adverse effects on cerebral perfusion are also illustrated re-emphasizing the necessity for individualization rather than generalization of care.

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)0.000
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: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.029
GPT teacher head0.323
Teacher spread0.294 · 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

Citations32
Published2007
Admission routes1
Has abstractyes

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