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Publication Name World Journal of Psychiatry
Manuscript ID 122517
DOI 10.5498/wjp.122517
Country China
Category Psychiatry
Manuscript Type Retrospective Study
Article Title Development and validation of a nomogram model for identifying post-stroke anxiety symptoms
Manuscript Source Unsolicited Manuscript
All Author List Shang-Yu Luo, Li Feng, Yun-Jun Hong, Ji Liang, Yu Peng, Li-Hua Shao and Xiao-Bo Zhang
Funding Agency and Grant Number
Funding Agency Grant Number
Science and Technology Innovation Program of Changde City No. CDKJJ20242294
Corresponding Author Xiao-Bo Zhang, Chief Physician, Department of Neurology, Changde Hospital, Xiangya School of Medicine, Central South University (The First People’s Hospital of Changde City), No. 818 Renmin Road, Changde 415000, Hunan Province, China. 285058041@qq.com
Key Words Stroke; Anxiety; Nomogram; Independent associated factors; Retrospective cross-sectional study
Core Tip This retrospective cross-sectional study sought to develop a clinical recognition model for post-stroke anxiety symptoms. The nomogram exhibited robust discrimination and calibration in a single-center sample, indicating its potential to identify patients at high risk for current anxiety symptoms, pending external validation.
Citation Luo SY, Feng L, Hong YJ, Liang J, Peng Y, Shao LH, Zhang XB. Development and validation of a nomogram model for identifying post-stroke anxiety symptoms. World J Psychiatry 2026; In press
PDF 122517-in-press.pdf
Received
2026-04-27 08:09
Peer-Review Started
2026-04-27 08:10
First Decision by Editorial Office Director
2026-06-11 01:18
Return for Revision
2026-06-11 01:18
Revised
2026-07-14 05:39
Publication Fee Transferred
2026-08-12 13:01
Second Decision by Editor
2026-09-04 02:42
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-09-04 09:04
Articles in Press
2026-09-04 09:04
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2220-3206 (online)
Open Access This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Copyright ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com