Evidence map›Paper›PMID 41473893›Full record

ArticleNeuropsychiatric disease and treatment2025

The Impact of Electroencephalogram-Guided General Anesthesia on Postoperative Delirium and Recovery in Patients Over 60 with Hip Fractures: A Retrospective Cohort Study.

Yang Liu, Hong Fan, Guohua Wei, Yinyin Shu, Jigang Zhang

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yang Liu *Department of Anesthesiology, Jinling Hospital Affiliated to Nanjing University School of Medicine, Nanjing, Jiangsu, 210002, People's Republic of China.
Hong Fan *Department of Anesthesiology, Jinling Hospital Affiliated to Nanjing University School of Medicine, Nanjing, Jiangsu, 210002, People's Republic of China.
Guohua WeiDepartment of Anesthesia and Perioperative Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, People's Republic of China.
Yinyin ShuDepartment of Anesthesiology, Jinling Hospital Affiliated to Nanjing University School of Medicine, Nanjing, Jiangsu, 210002, People's Republic of China.
Jigang ZhangDepartment of Anesthesia and Perioperative Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hip fractures in the elderly often lead to high morbidity, prolonged hospitalization, and postoperative delirium-a prevalence noted to affect up to 50% of such patients. This study evaluates whether electroencephalogram (EEG)-guided general anesthesia can reduce postoperative delirium and enhance recovery in elderly hip fracture cases. Methods: This retrospective cohort study analyzed patients aged ≥60 years who underwent hip fracture surgery under general anesthesia from November 2022 to May 2024. After propensity score matching, patients were divided into two groups: routine anesthesia (n=118) and EEG-guided anesthesia (n=105). Outcomes measured included the incidence of delirium (Confusion Assessment Method), cognitive recovery (SLUMS, Saint Louis University Mental Status Examination), hospital stay duration, post-anesthesia care unit (PACU) stay duration, and patient satisfaction. Results: The EEG-guided group showed significant reductions in the incidence of postoperative delirium on the first and third days (8.57% vs 20.34%, Conclusion: EEG-guided general anesthesia seems to be associated with lower rates of early postoperative delirium and improved cognitive recovery in elderly patients with hip fractures.

Indexed as

anesthesiacognition disordersdeliriumelderly patientselectroencephalographypatient satisfaction

Identifiers

PMID41473893
PMCPMC12746735

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.