Clinical features of malnutrition in hospitalized patients with type 2 diabetes mellitus-related diabetic foot ulcers: A retrospective study

doi:10.4239/wjd.121349

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 17, Issue 7

This Article

(19)

(17)

(0)

(17)

(255)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Diabetes

ISSN

1948-9358

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Study

Copyright: ©Author(s) 2026. 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.

World J Diabetes. Jul 15, 2026; 17(7): 121349
Published online Jul 15, 2026. doi: 10.4239/wjd.121349

Full Size Figure Download Figure

Figure 1 Patients enrollment workflow.

Citation: Wang SH, Luo Y, Lai JB. Clinical features of malnutrition in hospitalized patients with type 2 diabetes mellitus-related diabetic foot ulcers: A retrospective study. World J Diabetes 2026; 17(7): 121349
URL: https://www.wjgnet.com/1948-9358/full/v17/i7/121349.htm
DOI: https://dx.doi.org/10.4239/wjd.121349

Wang SH, Luo Y, Lai JB. Clinical features of malnutrition in hospitalized patients with type 2 diabetes mellitus-related diabetic foot ulcers: A retrospective study. World J Diabetes 2026; 17(7): 121349 [DOI: 10.4239/wjd.121349]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.