Evidence map›Paper›PMID 31234908›Full record

ArticleBMC research notes2019

Biofilm and hemagglutinin formation: a Hallmark for drug resistant uropathogenic Escherichia coli.

Dawit Gebreegziabiher Hagos, Tadele Araya Mezgebo, Samuel Berhane, Araya Abraha Medhanyie

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  5. Review
  6. Dissemination of different sequence types lineages harboringIranian journal of basic medical sciences · 2020
    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

4 authors at 1 institution in 1 country.

Dawit Gebreegziabiher HagosDepartment of Microbiology and Immunology, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia. dawitg@mu.edu.et.
Tadele Araya MezgeboDepartment of Microbiology and Immunology, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia.
Samuel BerhaneDepartment of Internal Medicine, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia.
Araya Abraha MedhanyieSchool of Public Health, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia.
Mekelle University · ET

Funding

Mekelle University 000.00 Eth.BirrMekelle University 40
6 · The paper itself

Abstract

objectiveUrinary tract infection (UTI) is one of the most frequent disease encounters in pregnant mothers, and the most drug resistant, biofilm and hemagglutinin producer Uropathogenic Escherichia coli (UPEC) is the major etiologic agent. Therefore, the aim of this study was to assess the association between the antimicrobial resistance, and biofilm and hemagglutinin production of Uropathogenic Escherichia coli.

resultsUTI among the study participants was 27.3%; and UPEC was found the major etiologic agent followed by coagulase negative staphylococcus. Risk factors, previous history of catheterization and previous history of UTI were found significantly associated with UTI, recurrent UTI, drug resistance and biofilm formation. Of the tested antibiotics, nitrofurantoin was the most effective drug for UPEC. Nearly 100% of the biofilm producers were resistant to norfloxacin, cotrimoxazole, and gentamicin.

Indexed as

Drug Resistance, BacterialAdolescentAdultBiofilmsFemaleHemagglutininsHumansLogistic ModelsMultivariate AnalysisUropathogenic Escherichia coliYoung AdultHemagglutininsBiofilmDrug resistanceUPECUTI

Identifiers

PMID31234908
PMCPMC6591996
OpenAlexW2954329597

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.