Evidence map›Paper›PMID 35096674›Full record

ArticleGerms2021

Aerobic bacteria isolated from diabetic foot ulcers of Egyptian patients: types, antibiotic susceptibility pattern and risk factors associated with multidrug-resistant organisms.

Mervat Mashaly, Mohamed Abo El Kheir, Mohamed Ibrahim, Wael Khafagy

Open access · greenAbstract read
In one paragraph

Article in Germs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Mervat MashalyMD, Assistant Professor, Clinical Pathology Department, Clinical Microbiology Unit, Faculty of Medicine, Mansoura University, El Gomhoryia Street, Mansoura, 35516, Egypt.
Mohamed Abo El KheirMD, Professor, General Surgery Department, Faculty of Medicine, Mansoura University, Mansoura, 35516, Egypt.
Mohamed IbrahimMSc student, General Practitioner, Sherbin Central Hospital, Ministry of Health and Population, Mansoura, 35516, Egypt.
Wael KhafagyMD, Professor, General Surgery Department, Faculty of Medicine, Mansoura University, Mansoura, 35516, Egypt.
Mansoura University · EGMinistry of Health and Population · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetic foot infection (DFI) is one of the common diabetic complications. Pathogens causing DFI and their antibiotic susceptibility vary with location. Therefore, empirical antibiotic therapy should be based on the pathogens that are most likely to be present. Aim: To identify the frequent aerobic bacteria causing DFI with detection of their antibiotic susceptibility to help clinicians in our community choose the best empirical antibiotic for DFI.

methodsSwabs were collected from 104 diabetic foot ulcers (DFUs). Aerobic bacterial cultures were done followed by bacterial identification and antibiotic susceptibility testing on VITEK® 2 system. Extended-spectrum beta-lacatamase (ESBL) detection was performed phenotypically and confirmed by multiplex-PCR for

resultsAerobic bacterial infection was detected in 82/104 (78.8%) of the DFUs. Gram-negative bacilli (GNB) were isolated more frequently (56.1%) than Gram-positive cocci (GPC) (43.9%). The most common single-isolated bacteria were

conclusionsThere is a notable local pattern of DFI bacteriology in our community. Our findings could be valuable in developing the future empirical treatment guidelines for DFIs.

Indexed as

bacteriologyDiabetic foot infectionEgyptESBLMRSAmultidrug resistance

Identifiers

PMID35096674
PMCPMC8789360
OpenAlexW4205950590

What OpenQuestion 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 OpenQuestion graph.