ReviewInternational wound journal2011
Diabetic foot infections: microbiological aspects, current and future antibiotic therapy focusing on methicillin-resistant Staphylococcus aureus.
Review in International wound journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 25 citations in OpenAlex.
- Nano-hydrogel embedded with quercetin and oleic acid as a new formulation in the treatment of diabetic foot ulcer: A pilot study.International wound journal · 2020Trial
- 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 · 2025Article
- Antibacterial Properties of Polymeric Membranes Containing Doxycycline for Potential Applications in Foot Ulcer Treatment.International journal of molecular sciences · 2025Article
- Antibacterial Activity and Mechanism of Canagliflozin against Methicillin-ResistantMolecules (Basel, Switzerland) · 2023Article
- What's old is new again: Insights into diabetic foot microbiome.World journal of diabetes · 2023Review
- Diabetic foot ulcer in Southern Jordan: A cross-sectional Study of Clinical and Microbiological Aspects.Annals of medicine and surgery (2012) · 2022Article
- Enzyme-Functionalized Mesoporous Silica Nanoparticles to TargetInternational journal of nanomedicine · 2021Article
- Dual Gene Expression Analysis Identifies Factors Associated with Staphylococcus aureus Virulence in Diabetic Mice.Infection and immunity · 2019Article
- CcpA Affects Infectivity ofFrontiers in cellular and infection microbiology · 2017Article
- Staphylococcus aureus Toxins and Diabetic Foot Ulcers: Role in Pathogenesis and Interest in Diagnosis.Toxins · 2016Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic patients are at increased risk of complicated skin, skin structure and bone infections including infections of diabetic foot ulcerations (DFU). Analyses of epidemiology and microbial pathogenicity show that staphylococci seem to be predestined to induce such infections. In addition, multidrug resistance particularly due to an increasing prevalence of methicillin-resistant Staphylococcus aureus (MRSA) seems to be the challenge for effective antibiotic therapy. With regard to infections with MRSA, classical agents like vancomycin, linezolid, fosfomycin or trimethroprim-sulphametoxazol might be agents of choice in DFU. New-generation drugs including broad-spectrum tetracyclines like tigecycline, first and second generation of cyclic lipopeptides, anti-MRSA β-lactams including ceftobiprole and anti-MRSA antibodies are developed or in progress and the hope for the future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.