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Articles Published Processes
11/8/2022 7:44:25 AM | Browse: 268 | Download: 805
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Received |
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2022-09-05 13:57 |
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Peer-Review Started |
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2022-09-05 13:59 |
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To Make the First Decision |
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Return for Revision |
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2022-09-28 12:38 |
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Revised |
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2022-10-07 09:17 |
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Second Decision |
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2022-10-17 03:30 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-10-17 07:17 |
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Articles in Press |
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2022-10-17 07:17 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2022-10-19 09:07 |
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Publish the Manuscript Online |
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2022-11-08 07:44 |
ISSN |
2307-8960 (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/ |
Copyright |
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Endocrinology & Metabolism |
Manuscript Type |
Observational Study |
Article Title |
Development and validation of a risk assessment model for prediabetes in China national diabetes survey
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Li-Ping Yu, Fen Dong, Yong-Ze Li, Wen-Ying Yang, Si-Nan Wu, Zhong-Yan Shan, Wei-Ping Teng and Bo Zhang |
ORCID |
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Funding Agency and Grant Number |
Funding Agency |
Grant Number |
the National Key Research and Development Program of China |
2018YFC1313902 |
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Corresponding Author |
Bo Zhang, Doctor, Professor, Department of Endocrinology, China-Japan Friendship Hospital, No 2 East Yinghua Road, Chaoyang District, Beijing 100029, China. prediabetes@sina.com |
Key Words |
Hyperglycemia; Prediabetes; Risk assessment model; Risk scores |
Core Tip |
This was the first study to utilize easily-measured metrics to develop prediabetes assessment model in a large population and validated the model in different populations. Data of the China National Diabetes and Metabolic Disorders Study survey with 47325 participants was used to establish the risk assessment model for prediabetes. External validation was performed in a broad spectrum of populations that have marked racial and demographical differences, and the satisfactory discrimination and calibration performance enhance the model’s generalizability across nations. Risk score was derived to assess prediabetes. Stratified individuals at ≥ 7 points were at high risk of prediabetes, with sensitivity of 60.19% and specificity of 67.59%. |
Publish Date |
2022-11-08 07:44 |
Citation |
Yu LP, Dong F, Li YZ, Yang WY, Wu SN, Shan ZY, Teng WP, Zhang B. Development and validation of a risk assessment model for prediabetes in China national diabetes survey. World J Clin Cases 2022; 10(32): 11789-11803 |
URL |
https://www.wjgnet.com/2307-8960/full/v10/i32/11789.htm |
DOI |
https://dx.doi.org/10.12998/wjcc.v10.i32.11789 |
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