Publication Name	World Journal of Psychiatry
Manuscript ID	112819
Country	China

Category	Psychology, Clinical
Manuscript Type	Retrospective Study
Article Title	Electroencephalogram-guided anesthesia and postoperative anxiety and depression in elderly gastric cancer patients with sleep disorders
Manuscript Source	Unsolicited Manuscript
All Author List	Xiao-Min Zhang, Li Yuan, Yan-Lin Chen, Shi-Chao Shuai, Xiao-Ming Ye and Ji-Bo Zhao
Funding Agency and Grant Number	Funding Agency Grant Number Health and Biomedical Special Project No. 2221204D
Corresponding Author	Ji-Bo Zhao, Chief Physician, Department of Anesthesiology, The First Affiliated Hospital of Hebei North University, No. 12 Changqing Road, Zhangjiakou 075061, Hebei Province, China. zhaojibo77@163.com
Key Words	Elderly patients; Gastric cancer; Sleep disorder; Electroencephalogram monitoring; Anesthesia depth; Postoperative anxiety; Postoperative depression
Core Tip	This study demonstrates that electroencephalogram (EEG)-guided anesthesia significantly reduces postoperative anxiety and depression in elderly gastric cancer patients with sleep disorders, with greatest benefits in severe cases. Anesthesia depth stability, rather than absolute values, critically influences mental health outcomes. EEG monitoring also reduces drug costs by 18.6% and complications, supporting routine Bispectral Index implementation in this vulnerable population.
Citation	Zhang XM, Yuan L, Chen YL, Shuai SC, Ye XM, Zhao JB. Electroencephalogram-guided anesthesia and postoperative anxiety and depression in elderly gastric cancer patients with sleep disorders. World J Psychiatry 2025; In press

Received	2025-08-26 09:12
Peer-Review Started	2025-08-26 09:12
To Make the First Decision
Return for Revision	2025-09-17 07:53
Revised	2025-09-25 14:03
Second Decision	2025-11-06 02:48
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-11-06 06:21
Articles in Press	2025-11-06 06:21
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2220-3206 (online)
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