Evidence map›Paper›PMID 35459117›Full record

ArticleBMC infectious diseases2022

Distribution and drug sensitivity of pathogenic bacteria in diabetic foot ulcer patients with necrotizing fasciitis at a diabetic foot center in China.

Xuemei Li, Zhipeng Du, Ziwei Tang, Qin Wen, Qingfeng Cheng, Yunhua Cui

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
5.2field-weighted citation impact, top 4% of its field
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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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  19. Molecular epidemiology, drug resistance, and virulence gene analysis ofFrontiers in cellular and infection microbiology · 2022
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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

6 authors at 2 institutions in 1 country.

Xuemei LiDepartment of Pharmacy, Chongqing Health Center for Women and Children, Chongqing, China.
Zhipeng DuDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, No. 1, Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
Ziwei TangDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, No. 1, Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
Qin WenDepartment of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qingfeng ChengDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, No. 1, Yixueyuan Road, Yuzhong District, Chongqing, 400016, China. cqf197605166@163.com.
Yunhua CuiDepartment of Respiratory and Critical Care Medicine, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No. 136, Jingzhou Street, Xiangcheng District, Hubei, 441021, China. cuiyunhuag11c0@sina.com.
First Affiliated Hospital of Chongqing Medical University · CNXiangyang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic foot ulcer is one of the major complications for patients with diabetes, and has become an important cause of non-traumatic amputation. Necrotizing fasciitis is a life-threatening soft-tissue infection involving the fascia and subcutaneous tissue. When diabetic foot ulcers are complicated by necrotizing fasciitis (DNF), this increases the risk for amputation and mortality, making DNF treatment more complicated, and eventually leading to amputation and mortality. However, studies on pathogenic bacteria's distribution and drug sensitivity in DNF patients remain lacking. This study investigated the distribution and susceptibility of pathogenic bacteria in DNF patients, and provided empirical antibacterial guidance for the clinic.

methodsIn a single diabetic foot center, the results from microbial cultures and drug susceptibility tests of patients with DNF from October 2013 to December 2020 were collected and analyzed.

resultsA total of 101 DNF patients were included in this study, of whom 94 had positive culture test results. A total of 124 pathogens were cultured, including 76 Gram-positive bacterial strains, 42 Gram-negative bacterial strains, and six fungal strains. Polymicrobial infections accounted for 26.7% and monomicrobial infections accounted for 66.3%. Staphylococcus aureus was the most common bacterium isolated, followed by Enterococcus faecalis and Streptococcus agalactiae. Pseudomonas aeruginosa, Klebsiella pneumoniae, and Proteus mirabilis were the most common Gram-negative bacteria. Thirty-five strains of multi-drug resistant bacteria were isolated, representing 28.2% of the total isolates. Gram-positive bacteria were more sensitive to levofloxacin, moxifloxacin, vancomycin, teicoplanin, tigecycline, and linezolid, while Gram-negative bacteria were more sensitive to amikacin, piperacillin/tazobactam, cefoperazone/sulbactam, ceftazidime, cefepime, imipenem, and meropenem.

conclusionsGram-positive bacteria were the main bacteria isolated from DNF patients. The bacterial composition, the proportion of multi-drug resistant bacteria among the pathogens, and the high risk for amputation should be fully considered in the initial empirical medication, and broad-spectrum antibacterials are recommended.

Indexed as

Diabetes MellitusDiabetic FootFasciitis, NecrotizingAnti-Bacterial AgentsBacteriaDrug Resistance, BacterialGram-Negative BacteriaGram-Positive BacteriaHumansMicrobial Sensitivity TestsAnti-Bacterial AgentsAntimicrobial susceptibility testDiabetic foot ulcerInitial empirical antimicrobialsNecrotizing fasciitisPathogenic bacteria

Identifiers

PMID35459117
PMCPMC9034620
OpenAlexW4226310431

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.