MétaCan
Menu
Back to cohort

EFFECTS OF DIFFERENT TYPES OF ANESTHESIA ON CEREBRAL OXYGENATION AND COGNITIVE FUNCTIONS IN CAROTID ENDARTERECTOMY

2017· article· en· W2598351001 on OpenAlexaboutno aff
Maxim Y. Obraztsov, O.YU. IVАSCHENKO, N.YU. IVАSCHENKO, M. G. АNISIMOV, Valery M. Gorenkov, V. V. Kuzkov, М. Yu. Кirov

Bibliographic record

VenueMessenger of Anesthesiology and Resuscitation · 2017
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsCarotid endarterectomyMedicineSevofluraneAnesthesiaOxygenationPostoperative cognitive dysfunctionCerebral perfusion pressureEndarterectomyMontreal Cognitive AssessmentCognitionCerebral blood flowCognitive impairmentSurgeryCarotid arteries

Abstract

fetched live from OpenAlex

Carotid endarterectomy (CEA) can be followed by postoperative cognitive dysfunction (POCD). Goal of the study: to investigate the effect of total intravenous anesthesia (TIVA) with propofol and inhalation anesthesia (IA) with sevoflurane on cerebral oxygenation and POCD. Materials and methods. 40 patients were enrolled into the study and divided into the groups of TIVA and IA. The cerebral tissue oxygen saturation with oxygen (SctO2) was recorded during CEA and in 24 hours after it. Cognitive functions were assessed with Montreal Cognitive Assessment (MoCA) before the CEA, in 1 and 5 days after. Results. Reduction of SctO 2 was observed on the operated side after carotid clamping. SctO 2 transitory reduced on the contralateral side in the TIVA group and was significantly higher in the IA group. MoCA changes in 24 hours after the surgery correlated with SctO 2 reduction on the ipsilateral side in TIVA group (rho = 0.54; p = 0.015). In 5 days after CEA, the cognitive functions were higher in the IA group (p = 0.028). Conclusion. Anesthesia with sevoflurane used for CEA may mitigate an asymmetry of cerebral perfusion, improves oxygenation of contralateral hemisphere and reduces the risk of POCD.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.008
GPT teacher head0.248
Teacher spread0.240 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueMessenger of Anesthesiology and ResuscitationSame topicCerebrovascular and Carotid Artery DiseasesFrench-language works237,207