Publication Name	World Journal of Clinical Cases
Manuscript ID	71000
Country	China

Received	2021-09-29 04:10
Peer-Review Started	2021-09-29 04:11
To Make the First Decision
Return for Revision	2021-12-02 07:19
Revised	2021-12-14 04:02
Second Decision	2022-01-21 05:44
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2022-01-22 20:14
Articles in Press	2022-01-22 20:14
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2022-02-22 08:58
Publish the Manuscript Online	2022-03-11 00:39

ISSN	2307-8960 (online)
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Category	Psychology
Manuscript Type	Clinical Trials Study
Article Title	Identification and predictive analysis for participants at ultra-high risk of psychosis: A comparison of three psychometric diagnostic interviews
Manuscript Source	Unsolicited Manuscript
All Author List	Peng Wang, Chuan-Dong Yan, Xiao-Jie Dong, Lei Geng, Chao Xu, Yun Nie and Sheng Zhang
ORCID	Author(s) ORCID Number Peng Wang http://orcid.org/0000-0003-3779-9787 Chuan-Dong Yan http://orcid.org/0000-0003-4312-1999 Xiao-Jie Dong http://orcid.org/0000-0003-3717-5421 Lei Geng http://orcid.org/0000-0003-4835-7167 Chao Xu http://orcid.org/0000-0002-3321-3577 Yun Nie http://orcid.org/0000-0001-9572-931X Sheng Zhang http://orcid.org/0000-0001-8293-7670
Funding Agency and Grant Number	Funding Agency Grant Number the Health Commission of Hubei Province Scientific Research Project WJ2019M016
Corresponding Author	Sheng Zhang, MD, Associate Chief Physician, Department of Psychological Rehabilitation, Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, No. 70 Youyi Road, Qiaokou District, Wuhan 430022, Hubei Province, China. 11024070@qq.com
Key Words	Psychosis; Ultra-high risk; Psychosis-Risk syndrome; Psychometric diagnostic; Predictive analysis
Core Tip	To address the psychometric comparability of the comprehensive assessment of at risk mental state, Structured Interview for Psychosis-Risk Syndrome and Bonn Scale for the Assessment of Basic Symptoms for the assessment of participants who were lineal relative or collateral relatives by blood up to three generations of patients with schizophrenia, 189 participants were interviewed for an ultra-high risk state. The final conclusion was that there is good diagnostic agreement among these three instruments. Also, these three instruments may assess and detect at-risk mental states in these participants reliably and validly.
Publish Date	2022-03-11 00:39
Citation	Wang P, Yan CD, Dong XJ, Geng L, Xu C, Nie Y, Zhang S. Identification and predictive analysis for participants at ultra-high risk of psychosis: A comparison of three psychometric diagnostic interviews. World J Clin Cases 2022; 10(8): 2420-2428
URL	https://www.wjgnet.com/2307-8960/full/v10/i8/2420.htm
DOI	https://dx.doi.org/10.12998/wjcc.v10.i8.2420

Full Article (PDF)	WJCC-10-2420.pdf
Full Article (Word)	WJCC-10-2420.docx
Manuscript File	71000_Auto_Edited.docx
Answering Reviewers	71000-Answering reviewers.pdf
Audio Core Tip	71000-Audio core tip.aac
Biostatistics Review Certificate	71000-Biostatistics statement.pdf
Clinical Trial Registration Statement	71000-Clinical trial registration statement.pdf
Conflict-of-Interest Disclosure Form	71000-Conflict-of-interest statement.pdf
Copyright License Agreement	71000-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	71000-Grant application form(s).pdf
Signed Informed Consent Form(s) or Document(s)	71000-Informed consent statement.pdf
Institutional Review Board Approval Form or Document	71000-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate	71000-Language certificate.pdf
Peer-review Report	71000-Peer-review(s).pdf
Scientific Misconduct Check	71000-Bing-Ma YJ-2.png
Scientific Editor Work List	71000-Scientific editor work list.pdf