Evidence mapPaperPMID 39286701Full record

ArticleCureus2024

Antibiotic Treatment Practices and Microbial Profile in Diabetic Foot Ulcers: A Retrospective Cohort Study.

Charles P Daniel, Kevin M Sittig, Maxwell J Wagner, Collins Cade, Wendy Chriss

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Charles P DanielSchool of Medicine, Louisiana State University Health Sciences Center, Shreveport, USA.
Kevin M SittigDepartment of Surgery, Louisiana State University Health Sciences Center, Shreveport, USA.
Maxwell J WagnerSchool of Medicine, Louisiana State University Health Sciences Center, Shreveport, USA.
Collins CadeSchool of Medicine, Louisiana State University Health Sciences Center, Shreveport, USA.
Wendy ChrissDepartment of Surgery, Louisiana State University Health Sciences Center, Shreveport, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim and objective Diabetic foot ulcers (DFUs) are a frequent complication of diabetes mellitus, impacting more than one in 10 diabetic patients, with roughly half of these ulcers progressing to infection. Existing literature indicates that these infections are predominantly polymicrobial, with gram-positive isolates being the most common. This microbial profile informs the empiric antibiotic strategies employed in first-world countries, often including highly potent nephrotoxic antibiotics. This retrospective cohort study aims to assess the microbial profile and antibiotic treatment practices in patients with infected DFUs at Ochsner LSU Health Shreveport Academic Medical Center in Shreveport, Louisiana, United States. Materials and methods A total of 115 patients diagnosed with infected DFUs were included in the study. Patient records were reviewed to identify bacterial pathogens cultured from foot wounds, antibiotic treatment regimens administered, and the prevalence of acute kidney injury (AKI). Results The study found a predominance of gram-negative isolates (199; 59.4%), facultative anaerobes (246; 73.4%), and polymicrobial infections (67; 78.8%) in infected DFUs. Vancomycin was administered to 95 patients (82.6%), with only a small number subsequently testing positive for methicillin-resistant

Indexed as

: acute kidney injuryantibiotic policyantibiotic susceptibilityatypical pathogen“diabetes mellitus”diabetes-related complicationsdiabetic foot infectiondiabetic foot ulcers managementunderserved patient populationvancomycin nephrotoxicity

Identifiers

PMID39286701
PMCPMC11405064

What Socratic holds

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Registered trials

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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 Socratic graph.