Evidence map›Paper›PMID 40011841›Full record

ArticleBMC public health2025

Analysis of risk factors for foot ulcers in diabetes patients with neurovascular complications.

Zibo Fan, Yue Liu, Hao Xie, Qinfeng Yang, Guangqing Zhang, Ping Zhang, Hong Ding

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zibo FanDepartment of Nursing, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, 510515, China.
Yue LiuDepartment of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangdong Provincial Key Laboratory of Precision Anaesthesia and Perioperative Organ Protection, Guangzhou, Guangdong Province, 510515, China.
Hao XieDivision of Orthopaedic Surgery, Department of Orthopaedics, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, 510515, China.
Qinfeng YangDivision of Orthopaedic Surgery, Department of Orthopaedics, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, 510515, China.
Guangqing ZhangDepartment of Office, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, 510515, China. HLBZhang@126.com.
Ping ZhangDepartment of Orthopaedics and Traumatology, Department of Orthopaedics, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, 510515, China. zp_wyf@smu.edu.cn.
Hong DingDepartment of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangdong Provincial Key Laboratory of Precision Anaesthesia and Perioperative Organ Protection, Guangzhou, Guangdong Province, 510515, China. 107835301@qq.com.

Funding

National Key Research and Development Program of China Stem Cell and Translational Research 2021YFA1100601National Natural Science Foundation of China 32170799Research Start-up Fund of the Seventh Affiliated Hospital, Sun Yat-sen University ZSQYRSSFAR0003Shenzhen Science and Technology Program JCYJ20210324120804013
6 · The paper itself

Abstract

backgroundDiabetic foot ulcers (DFU), characterized by open sores or wounds primarily occurring on the feet of diabetes patients, are a serious and highly morbid complication of long-standing diabetes, accounting for significant morbidity and mortality. These ulcers develop when diabetes damages both nerves and blood vessels, a combination known as neurovascular complications. Neurovascular disease is a well-established risk factor. While studies have extensively examined risk factors for DFU, few have specifically focused on patients with diabetic neurovascular disease. Therefore, we assess the prevalence and risk factors for DFU in diabetic patients with established neurovascular complications.

methodsThis study analyzed data from 6722 patients with diabetic neurovascular disease aged over 18 years old from the Southern Medical University Nanfang Hospital (SMUNFH) database (2018-2023) and 2689 patients with the same condition and age range from the National Institutes of Health (NIH) Integrated Surveillance System (NIS) database (2017-2019). The incidence of DFU was determined using information from the NIS database and SMUNFH databases. A binary logistic regression model was employed to explore the risk factors for DFU.

resultsThe incidence of DFU among neurovascular disease patients was 13.4% at SMUNH and 25.9% in the NIS Asian population. Multiple regression analysis identified several factors associated with DFU in the SMUNH database, including diabetic retinopathy, diabetic nephropathy, osteomyelitis, coronary heart disease, tinea pedis (fungal foot infection), sepsis, ability to sense a 128 Hz tuning fork (both left and right sides), C-reactive protein (CRP) levels, and urinary albumin-to-creatinine ratio (ACR). Analysis of NIS data revealed that in the broader Asian population, peripheral vascular disorders and osteomyelitis were associated with DFU.

conclusionThe prevalence of DFU is higher in Asia than in China. Focusing on peripheral vascular disorders and osteomyelitis can effectively reduce the prevalence of DFU in the Asian population while addressing diabetic retinopathy, diabetic nephropathy, osteomyelitis, coronary heart disease, tinea pedis, ability to sense a 128 Hz tuning fork, CRP levels, and urinary ACR can be effective in China.

Indexed as

Diabetic FootAdultAgedFemaleHumansIncidenceMaleMiddle AgedPrevalenceRisk FactorsDiabetes foot ulcerDiabetes mellitusNeurovascular diseaseRisk factors

Identifiers

PMID40011841
PMCPMC11866585

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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.