Evidence map›Paper›PMID 29731647›Full record

ArticleInfection and drug resistance2018

Ambulance vehicles as a source of multidrug-resistant infections: a multicenter study in Assiut City, Egypt.

Mohamed A El-Mokhtar, Helal F Hetta

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
2.1field-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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  5. HypervirulentPharmaceuticals (Basel, Switzerland) · 2025
    Review
  6. Prevalence of Antibiotic Resistance Determinants in Carbapenem-ResistantInternational journal of molecular and cellular medicine · 2025
    Article
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  11. Tryptone-stabilized silver nanoparticles' potential to mitigate planktonic and biofilm growth forms of Serratia marcescens.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2023
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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

2 authors at 1 institution in 1 country.

Mohamed A El-Mokhtar *Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut, Egypt.
Helal F Hetta *Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut, Egypt.
Assiut University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmbulances may represent a potential source of infection to patients, patients' relatives, and paramedical staffs. In this study, we analyzed the extent of bacterial contamination in ambulance vehicles and measured the degree of antimicrobial resistance among isolated pathogens. MATERIALS AND

methodsTwenty-five vehicles were included and 16 sampling points were swabbed in each vehicle. Then the swabs were immediately transferred to the laboratory to identify bacterial contaminants utilizing standard microbiological procedures and API

resultsA total of 400 samples were collected, 589 bacteria were isolated and 286 (48.6%) of the isolates were potentially pathogenic. The highest contamination rate with pathogenic bacteria was detected in suction devices (75.8%) and stethoscopes (67.7%). Staphylococci were the most frequently detected microorganisms (n=184) followed by

conclusionOur study provides evidence that ambulances represent a source of prehospital multidrug-resistant infections.

Indexed as

ambulancecontaminationextended spectrum β-lactamasesmethicillin-resistant Staphylococcus aureusresistance

Identifiers

PMID29731647
PMCPMC5926072
OpenAlexW2800204115

What OpenQuestion holds

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LicenceCC BY-NC
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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.