Evidence map›Paper›PMID 40093275›Full record

ArticleWorld journal of diabetes2025

Risk factors and a predictive model of diabetic foot in hospitalized patients with type 2 diabetes.

Ming-Zhuo Li, Fang Tang, Ya-Fei Liu, Jia-Hui Lao, Yang Yang, Jia Cao, Ru Song, Peng Wu, Yi-Bing Wang

Abstract read
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Article in World journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ming-Zhuo LiDepartment of Plastic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250012, Shandong Province, China.
Fang TangCenter for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250012, Shandong Province, China.
Ya-Fei LiuShandong Mental Health Center, Shandong University, Jinan 250012, Shandong Province, China.
Jia-Hui LaoCenter for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250012, Shandong Province, China.
Yang YangCenter for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250012, Shandong Province, China.
Jia CaoCenter for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250012, Shandong Province, China.
Ru SongDepartment of Plastic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250012, Shandong Province, China.
Peng WuDepartment of Plastic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250012, Shandong Province, China.
Yi-Bing WangDepartment of Plastic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250012, Shandong Province, China. ybwang@sdfmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe risk factors and prediction models for diabetic foot (DF) remain incompletely understood, with several potential factors still requiring in-depth investigations.

aimTo identify risk factors for new-onset DF and develop a robust prediction model for hospitalized patients with type 2 diabetes.

methodsWe included 6301 hospitalized patients with type 2 diabetes from January 2016 to December 2021. A univariate Cox model and least absolute shrinkage and selection operator analyses were applied to select the appropriate predictors. Nonlinear associations between continuous variables and the risk of DF were explored using restricted cubic spline functions. The Cox model was further employed to evaluate the impact of risk factors on DF. The area under the curve (AUC) was measured to evaluate the accuracy of the prediction model.

resultsSeventy-five diabetic inpatients experienced DF. The incidence density of DF was 4.5/1000 person-years. A long duration of diabetes, lower extremity arterial disease, lower serum albumin, fasting plasma glucose (FPG), and diabetic nephropathy were independently associated with DF. Among these risk factors, the serum albumin concentration was inversely associated with DF, with a hazard ratio (HR) and 95% confidence interval (CI) of 0.91 (0.88-0.95) (

conclusionFPG demonstrated a

Indexed as

Diabetic footNonlinear associationPrediction modelRetrospective cohortType 2 diabetes

Identifiers

PMID40093275
PMCPMC11885965

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.