Publication Name	World Journal of Diabetes
Manuscript ID	56989
Country	China

Received	2020-11-19 10:22
Peer-Review Started	2020-11-19 10:22
To Make the First Decision
Return for Revision	2020-11-30 01:42
Revised	2020-12-10 14:59
Second Decision	2020-12-17 11:13
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2020-12-23 05:13
Articles in Press	2020-12-23 05:13
Publication Fee Transferred
Edit the Manuscript by Language Editor	2020-12-28 05:03
Typeset the Manuscript	2021-01-22 00:25
Publish the Manuscript Online	2021-01-23 05:21

ISSN	1948-9358 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
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Category	Endocrinology & Metabolism
Manuscript Type	Retrospective Study
Article Title	Use of glycated albumin for the identification of diabetes in subjects from northeast China
Manuscript Source	Unsolicited Manuscript
All Author List	Guo-Yan Li, Hao-Yu Li and Qiang Li
Funding Agency and Grant Number	Funding Agency Grant Number Youth Fund Project of the Second Affiliated Hospital of Harbin Medical University QN2010-20
Corresponding Author	Qiang Li, PhD, Professor, Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, No. 246 Xuefu Road, Nangang District, Harbin 150080, Heilongjiang Province, China. qiangli1964@126.com
Key Words	Glycated albumin; Receiver operating characteristic; Cut-off; Hemoglobin A1c; Diagnosis; Diabetes mellitus
Core Tip	Our study supports the use of glycated albumin (GA) as a biomarker for the diagnosis of diabetes. The GA cutoff for the diagnosis of diabetes mellitus was 15.15% from the receiver operating characteristic (ROC) curve. ROC analysis demonstrated that GA was an efficient marker for detecting diabetes, with an area under the ROC curve of 90.3%.
Publish Date	2021-01-23 05:21
Citation	Li GY, Li HY, Li Q. Use of glycated albumin for the identification of diabetes in subjects from northeast China. World J Diabetes 2021; 12(2): 149-157
URL	https://www.wjgnet.com/1948-9358/full/v12/i2/149.htm
DOI	https://dx.doi.org/10.4239/wjd.v12.i2.149

Full Article (PDF)	WJD-12-149.pdf
Full Article (Word)	WJD-12-149.docx
Manuscript File	56989-Review-FilipodiaCL.docx
Answering Reviewers	56989-Answering reviewers.pdf
Audio Core Tip	56989-Audio core tip.mp3
Biostatistics Review Certificate	56989-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form	56989-Conflict-of-interest statement.pdf
Copyright License Agreement	56989-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	56989-Grant application form(s).pdf
Signed Informed Consent Form(s) or Document(s)	56989-Informed consent statement.pdf
Institutional Review Board Approval Form or Document	56989-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate	56989-Language certificate.pdf
Peer-review Report	56989-Peer-review(s).pdf
Scientific Misconduct Check	56989-Bing-Wang JL-1.jpg
Scientific Misconduct Check	56989-Scientific misconduct check.pdf
Scientific Editor Work List	56989-Scientific editor work list.pdf