Evidence map›Paper›PMID 35949468›Full record

ArticleThe Pan African medical journal2022

Bacterial profile of diabetic foot infections and antibiotic susceptibility in a specialized diabetes centre in Cameroon.

Mesmin Dehayem Yefou, Ahmadou Musa Jingi, Martine Claude Etoa Etoga, Francine Mendane Mekobe, Batakeh Ba Agoons, Eliane Ngassam, Eugène Sobngwi, Jean-Claude Mbanya

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. A Retrospective Study of Infections and Antibiotic Susceptibility in Diabetic Foot Ulcers.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
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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

8 authors at 2 institutions in 1 country.

Mesmin Dehayem YefouEndocrine and Diabetology Service, Yaoundé Central Hospital, Yaoundé, Cameroon.
Ahmadou Musa JingiFaculty of Health Sciences, University of Bamenda, Bamenda, Cameroon.
Martine Claude Etoa EtogaEndocrine and Diabetology Service, Yaoundé Central Hospital, Yaoundé, Cameroon.
Francine Mendane MekobeEndocrine and Diabetology Service, Yaoundé Central Hospital, Yaoundé, Cameroon.
Batakeh Ba AgoonsBafang District Hospital, Bafang, Cameroon.
Eliane NgassamEndocrine and Diabetology Service, Yaoundé Central Hospital, Yaoundé, Cameroon.
Eugène SobngwiEndocrine and Diabetology Service, Yaoundé Central Hospital, Yaoundé, Cameroon.
Jean-Claude MbanyaEndocrine and Diabetology Service, Yaoundé Central Hospital, Yaoundé, Cameroon.
Université de Yaoundé I · CMUniversity of Bamenda · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: bacterial profile of diabetic foot infections and the antibiotic susceptibility are essential in the prescription of empirical antibiotics before the results of cultures of deep wound samples are available. The aim of this study was to determine the microbiological profile and antibiotic susceptibility of bacteria isolated from infected diabetic foot ulcers in patients attending the Yaoundé Central Hospital, Cameroon. Methods: we retrospectively analyzed the records of patients hospitalized between 2008 and 2013 for diabetic foot infections. The main outcomes were the bacteriological profile and susceptibility patterns of isolates from positive culture of deep wound sample before antibiotherapy, carried out in the national reference laboratory. Eligible clinical records of patients were retrieved from the hospitalization registry. Results: a total of 101 patient records were analyzed. The mean age of patients was 57.1 ± 9.1 years. There were more males (64.4%), mostly with type 2 diabetes (99%), with a median duration of 9 years (IQR: 4 - 14 years). Their median blood sugar on admission was 246 mg/dL. Five percent of patients died and 23% had a major amputation. Two hundred and twenty-five (225) germs were isolated, with an average of 2.25 germs per patient. Gram-negative bacteria were more frequent (75.2%). These were mainly Morganella morganii (13.8%), Klebsiella pneumonia (12%), Escherichia coli (11.6%), Proteus spp. (10.7%), and Pseudomonas aeruginosa (8.9%). Gram-positive bacteria (24.8%) were mainly Staphylococcus aureus (9.3%), Streptococcus spp. (7.6%), and Enterococcus spp. (7.1%). Gram-negative bacteria showed a high resistance to amoxicillin-clavulanic acid (78%), fluoroquinolones (55%), and gentamycin (50%). They were susceptible to imipenem (95%), amikacin (88%), and show moderate susceptibility to third generation cephalosporins (62%). Gram-positive bacteria were susceptible to vancomycine (94%), and moderately susceptible to pristinamycine (82%) and fusidic acid (67%). Conclusion: Gram-negative bacteria were more frequently associated with diabetic foot infections, and were frequently resistant to the usually prescribed antibiotics, but remain susceptible to imipenem and amikacin. Our findings should be considered when prescribing empirical anti-biotherapy for diabetic foot infections in our setting.

Indexed as

Bacterial InfectionsCommunicable DiseasesDiabetes Mellitus, Type 2Diabetic FootAgedAmikacinAnti-Bacterial AgentsBacteriaCameroonGram-Negative BacteriaGram-Positive BacteriaHumansImipenemMaleMicrobial Sensitivity TestsMiddle AgedAmikacinAnti-Bacterial AgentsImipenemantibiotic susceptibilityDiabetic foot infections

Identifiers

PMID35949468
PMCPMC9307920
OpenAlexW4285163857

What OpenQuestion holds

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LicenceCC BY
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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.