MétaCan
Menu
Back to cohort
Record W4416935967 · doi:10.15829/1728-8800-2025-4612

Success analysis of virtual reality-based cognitive training in patients after coronary artery bypass grafting

2025· article· W4416935967 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCARDIOVASCULAR THERAPY AND PREVENTION · 2025
Typearticle
Language
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsnot available
FundersRussian Science Foundation
KeywordsNeurovascular bundlePerioperativeCognitionNeuropsychologyProspective cohort studyBypass graftingArteryPostoperative cognitive dysfunction

Abstract

fetched live from OpenAlex

Aim . To analyze the success of virtual reality-­based multitask cognitive training (VR-MCT) in patients who underwent on-pump coronary artery bypass grafting (CABG), based on an assessment of neuropsychological and neurochemical parameters. Material and methods . This prospective study included 49 male patients aged 45 to 75 years who underwent on-pump CABG and had early postoperative cognitive dysfunction (POCD). Beginning 3-4 days after CABG, patients underwent daily VR-MCT (mean session count — 6,7). In addition to the standard perioperative examination, all patients underwent psychometric testing and determination of neurovascular unit (NVU) markers — neuron-­specific enolase (NSE), S100β protein, and brain-­derived neurotrophic factor (BDNF). Results . The success rate of VR-MCT course was 43%; 21 of 49 patients did not show POCD according to the established criteria at 11-12 days after CABG. Patients with successful VR-MCT showed improvements in attention (p=0,034) and short-term memory (p=0,016) compared with patients with unsuccessful training in the early postoperative period. In patients with successful VR-MCT, peripheral blood BDNF levels before surgery (p=0,029) and 1-2 days after CABG (p=0,04) were significantly higher compared to patients with unsuccessful training. We established factors specifying the complex indicator of the neurodynamics domain in VR-MCT — educational level, intima-­media thickness, patient age, number of trainings and S100β protein level on day 1 after surgery (R 2 =0,38, F (5,43)=8,32, p<0,001); the attention domain — patient age, educational level, initial BDNF concentrations, both at the first day and on the first day. Peripheral blood S100β protein concentration and Montreal Cognitive Assessment (MoCA) scores were assessed (R 2 =0,52, F (6,42)=10,76, p<0,001); for the short-term memory domain, the patient's age and baseline BDNF, NSE, and glucose concentrations were assessed (R 2 =0,37, F (4,45)=10,15, p<0,001). Conclusion . The study results demonstrated that VR-MCT optimizes attention and short-term memory performance in patients with early POCD after on-pump CABG. Negative factors specifying cognitive status after VR-MCT include patient age, low education level, and ba­seline cognitive function, while protective factors include high pe­ri­operative BDNF concentrations and low peripheral blood con­cen­tra­tions of brain damage markers.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.002
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 head0.021
GPT teacher head0.276
Teacher spread0.255 · 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