Evidence map›Paper›PMID 36761201›Full record

ArticleFrontiers in endocrinology2023

Distribution of microbes and antimicrobial susceptibility in patients with diabetic foot infections in South China.

Wei Liu, Liying Song, Wei Sun, Weijin Fang, Chunjiang Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Characterization of Microbial Profiles and Antimicrobial Resistance in Diabetic Foot Ulcers at a Tertiary Care Facility in Northern China.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
  9. Natural products in the treatment of diabetic foot infection.European journal of medical research · 2025
    Review
  10. Review
  11. Deciphering microbiome and fungi-bacteria interactions in chronic wound infections using metagenomic sequencing.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  12. Review
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

5 authors at 2 institutions in 1 country.

Wei LiuDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Liying SongDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Wei SunDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Weijin FangDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Chunjiang WangDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Third Xiangya Hospital · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To investigate the distribution of microbes and drug susceptibility in patients with diabetic foot infections (DFI) and provide guidance for clinical empirical treatment and the rational selection of antibacterial drugs. Methods: Retrospective analysis of the pathogenic bacterium distribution and antimicrobial susceptibility isolated from 581 DFI patients with different Wagner grades. Results: The 534 positive samples included 473 cases (88.58%)) of monomicrobial infections and 61 cases (11.42%) of polymicrobial infections before antibiotic therapy. A total of 656 strains were cultivated, including 387 (58.99%) strains of gram-positive organisms (GPOs), 235 (35.82%) gram-negative bacilli (GNB), and 21 (3.20%) fungal strains. Polymicrobial infections mainly occurred in patients with Wagner grade 3-4 ulcers. GPOs were predominant in Wagner grades 1-3 (grade 1: 96.67%, grade 2: 76.52%, grade 3 62.81%), and the most common was Staphylococcus aureus (grade 1: 31.66%, grade 2: 33.04%, grade 3 35.53%). GNB were predominant in grades 4-5 (grade 4: 51.46%, grade 5:60%), and the most common GNB in Wagner grades 4-5 was Conclusion: The distribution of microbes and antimicrobial susceptibility in DFI patients varied with different Wagner grades. The most appropriate antimicrobial therapy should be selected based on the pathogen culture and antimicrobial susceptibility.

Indexed as

CoinfectionDiabetes MellitusDiabetic FootAmikacinAnti-Bacterial AgentsErtapenemGram-Negative BacteriaHumansMeropenemRetrospective StudiesTigecyclineAmikacinAnti-Bacterial AgentsErtapenemMeropenemTigecyclineantimicrobial susceptibilitydiabetesdiabetic foot infectiondiabetic foot ulcermicrobes

Identifiers

PMID36761201
PMCPMC9904418
OpenAlexW4317820198

What OpenQuestion holds

Textmetadata
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.