Publication Name	World Journal of Diabetes
Manuscript ID	107501
Country	China

Received	2025-04-01 14:08
Peer-Review Started	2025-04-03 00:05
To Make the First Decision
Return for Revision	2025-04-18 03:43
Revised	2025-04-30 16:09
Second Decision	2025-06-10 02:40
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-06-10 07:11
Articles in Press	2025-06-10 07:11
Publication Fee Transferred
Edit the Manuscript by Language Editor	2025-06-17 18:59
Typeset the Manuscript	2025-07-01 03:19
Publish the Manuscript Online	2025-07-15 08:26

ISSN	1948-9358 (online)
Open Access	In this editorial, we commented on the retrospective study by Zhao et al recently published in the World Journal of Diabetes, which developed a nomogram model to predict the risk of hypertension in patients with type 2 diabetes mellitus (T2DM). We highlighted its limitations, including the need for external validation and broader hypertension diagnosis. Future studies should consider this and include additional factors such as insulin resistance, inflammatory markers, blood pressure variability and serum uric acid to further refine risk prediction and improve T2DM management.
Copyright	© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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

Category	Cardiac & Cardiovascular Systems
Manuscript Type	Editorial
Article Title	Predicting hypertension in type 2 diabetes mellitus: Insights from a nomogram model
Manuscript Source	Invited Manuscript
All Author List	Jie Liu, Nan Zhang and Tong Liu
ORCID	Author(s) ORCID Number Tong Liu http://orcid.org/0000-0003-0482-0738
Funding Agency and Grant Number	Funding Agency Grant Number National Natural Science Foundation of China 82170327 and 82370332 Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-029A
Corresponding Author	Tong Liu, PhD, Professor, Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, No. 23 Pingjiang Road, Hexi District, Tianjin 300211, China. liutongdoc@126.com
Key Words	Hypertension; Type 2 diabetes mellitus; Diabetes; Risk prediction; Nomogram model; Insulin resistance; Inflammatory markers; Blood pressure variability; Serum uric acid
Core Tip	In this editorial, we commented on the retrospective study by Zhao et al recently published in the World Journal of Diabetes, which developed a nomogram model to predict the risk of hypertension in patients with type 2 diabetes mellitus (T2DM). We highlighted its limitations, including the need for external validation and broader hypertension diagnosis. Future studies should consider this and include additional factors such as insulin resistance, inflammatory markers, blood pressure variability and serum uric acid to further refine risk prediction and improve T2DM management.
Publish Date	2025-07-15 08:26
Citation	<p>Liu J, Zhang N, Liu T. Predicting hypertension in type 2 diabetes mellitus: Insights from a nomogram model. <i>World J Diabetes</i> 2025; 16(7): 107501</p>
URL	https://www.wjgnet.com/1948-9358/full/v16/i7/107501.htm
DOI	https://dx.doi.org/10.4239/wjd.v16.i7.107501

Full Article (PDF)	WJD-16-107501-with-cover.pdf
Manuscript File	107501_Auto_Edited_070304.docx
Answering Reviewers	107501-answering-reviewers.pdf
Audio Core Tip	107501-audio.wav
Conflict-of-Interest Disclosure Form	107501-conflict-of-interest-statement.pdf
Copyright License Agreement	107501-copyright-assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	107501-foundation-statement.pdf
Non-Native Speakers of English Editing Certificate	107501-non-native-speakers.pdf
Supplementary Material	107501-supplementary-material.pdf
Peer-review Report	107501-peer-reviews.pdf
Scientific Editor Work List	107501-scientific-editor-work-list.pdf
CrossCheck Report	107501-crosscheck-report.pdf