SynthesisFrontiers in aging neuroscience2024
Intraoperative electroencephalogram patterns as predictors of postoperative delirium in older patients: a systematic review and meta-analysis.
Synthesis in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06809556 (Association of Processed Electroencephalography Derived Parameters with Postoperative Delirium in Patients with Parkinson's Disease Undergoing Elective Neurosurgery), which is not on this map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Association of Processed Electroencephalography Derived Parameters with Postoperative Delirium in Patients with Parkinson's Disease Undergoing Elective Neurosurgery
Who cites it
15 citing papers in PubMed.
- Astrocyte-centered temporal resilience at the brain-behavior-immunity interface: sleep-circadian disruption and perioperative cognitive vulnerability in older adults.Brain, behavior, & immunity - health · 2026Review
- Beyond processed depth targets: frontal EEG patterns, brain vulnerability, and postoperative delirium in older adults.Journal of clinical monitoring and computing · 2026Review
- Reply from authors: relationship between duration of intraoperative hypotension and postoperative delirium in patients undergoing head and neck cancer surgery with free flap reconstruction: a retrospective observational study.Journal of anesthesia · 2026Article
- Review
- Depth of anesthesia monitoring: Current evidence, clinical impact, and future directions.The Journal of international medical research · 2026Review
- Dual-threshold plasma Aβ oligomerization for postoperative delirium risk stratification.Age and ageing · 2026Article
- Postoperative delirium: from bundles to precision prevention.Anesthesia and pain medicine · 2026Review
- Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach.GeroScience · 2026Observational
- Electroencephalographic phenotypes of postoperative delirium in the perioperative period.Journal of anesthesia and translational medicine · 2026Review
- The perioperative brain-heart-immune axis: autonomic resilience, multimodal monitoring and postoperative delirium.Frontiers in medicine · 2026Review
- Precision Sedation for Gastrointestinal Endoscopy in Older Adults: Brain Vulnerability and Recovery.Drug design, development and therapy · 2026Review
- Development of a deep learning-based prediction model for postoperative delirium using intraoperative electroencephalogram in adults.NPJ digital medicine · 2025Article
- Quantitative electroencephalogram and machine learning to predict expired sevoflurane concentration in infants.Journal of clinical monitoring and computing · 2025Article
- Aperiodic component of the electroencephalogram power spectrum reflects the hypnotic level of anaesthesia. Comment on Br J Anaesth 2025; 134: 392-401.British journal of anaesthesia · 2025Article
- Influence of anesthetic agent and burst suppression on postoperative delirium in elderly patients: a prospective cohort study with automated EEG analysis.Frontiers in aging neuroscience · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Postoperative delirium (POD) significantly affects patient outcomes after surgery, leading to increased morbidity, extended hospital stays, and potential long-term cognitive decline. This study assessed the predictive value of intraoperative electroencephalography (EEG) patterns for POD in adults. Methods: This systematic review and meta-analysis followed the PRISMA and Cochrane Handbook guidelines. A thorough literature search was conducted using PubMed, Medline, and CENTRAL databases focusing on intraoperative native EEG signal analysis in adult patients. The primary outcome was the relationship between the burst suppression EEG pattern and POD development. Results: From the initial 435 articles identified, 19 studies with a total of 7,229 patients were included in the systematic review, with 10 included in the meta-analysis (3,705 patients). In patients exhibiting burst suppression, the POD incidence was 22.1% vs. 13.4% in those without this EEG pattern (p=0.015). Furthermore, an extended burst suppression duration associated with a higher likelihood of POD occurrence ( Conclusions: This study revealed a 41% increase in the relative risk of developing POD in cases where a burst suppression pattern was present. These results underscore the clinical relevance of intraoperative EEG monitoring in predicting POD in older patients, suggesting its potential role in preventive strategies. Systematic Review Registration: This study was registered on International Platform for Registered Protocols for Systematic Reviews and Meta-Analyses: INPLASY202420001, https://doi.org/10.37766/inplasy2024.2.0001.
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