Evidence map›Paper›PMID 37891685›Full record

ArticleJournal of orthopaedic surgery and research2023

Comparison of customized vacuum sealing drainage and vacuum sealing drainage in the treatment of diabetic foot ulcers: a retrospective analysis.

Qingling Chen, Minting Lu, Xueyan Liu, Yanmei Yu, Jiaying Li

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qingling Chen *Department of Endocrinology, First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Minting Lu *School of Nursing, Jinan University, Guangzhou, 510632, China.
Xueyan LiuDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Yanmei YuDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Jiaying LiDepartment of Endocrinology, First Affiliated Hospital of Jinan University, Guangzhou, 510632, China. cqingling0718@163.com.

Funding

Screening of objective indicators and risk factors of chronic wounds of Diabetic foot ulcers based on deep learning 2022205
6 · The paper itself

Abstract

backgroundThe prevalence of diabetic foot ulcers, a common, more serious chronic diabetes-related complication, is increasing. Vacuum sealing drainage (VSD) constitutes an effective adjunctive treatment for diabetic foot ulcers. Factors, such as poor glycemic control, ischemia, and infection prolong wound healing time, and VSD products are expensive and unaffordable for many patients.

objectiveTo compare the use of customized VSD and customized VSD in the treatment of diabetic foot ulcer.

methodThis retrospective study included 83 patients with diabetic foot ulcers in customized VSD (n = 44) and VSD (n = 39) groups. Baseline data, efficacy after 14 days, total treatment efficiency, final outcome (28 days after treatment, healing rate), average treatment cost, and hospitalization (days) of the two groups were compared. Factors affecting wound healing were analyzed.

resultsNo significant intergroup differences in the baseline data were detected (VSD vs. customized VAD, p > 0.05). Treatment efficacy was higher in the customized VSD group than in the VSD group after 14 days (p < 0.05), although total treatment efficiency in both groups reached 100%. The final outcome in the customized VSD group was better (vs. VSD group, p < 0.05), and the wound healing rate was higher than in the VSD group (66.7% vs. 33.3%). The mean treatment cost and hospital days were greater in the VSD group (vs. customized VSD group; p < 0.05). Factors affecting wound healing include age, Wagner classification, HDL-C, and fasting C-peptide. Younger age, low Wagner classification grade, low HDL-C level, and high fasting C-peptide contribute to higher healing rate,

conclusionEfficacy and final outcome of customized VSD were better than that of VSD; the customized VSD device is simple and convenient to operate, and enables cost-effective treatment.

Indexed as

Diabetes MellitusDiabetic FootNegative-Pressure Wound TherapyC-PeptideDrainageHumansRetrospective StudiesTreatment OutcomeC-PeptideCustomized vacuum sealing drainageDiabetic foot ulcersRetrospective analysisVacuum sealing drainage

Identifiers

PMID37891685
PMCPMC10605333

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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.