Evidence map›Paper›PMID 31447500›Full record

ArticleEthiopian journal of health sciences2019

Genotypic Characterization of Aminoglycoside Resistance Genes from Bacteria Isolates in Selected Municipal Drinking Water Distribution Sources in Southwestern Nigeria.

Ayodele T Adesoji, Isaac O Olatoye, Adeniyi A Ogunjobi

Open access · diamondAbstract read
In one paragraph

Article in Ethiopian journal of health sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact, top 62% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. First Isolation and Clinical Case ofMedicina (Kaunas, Lithuania) · 2021
    Article
  4. Article
  5. Antibiogram studies ofThe Pan African medical journal · 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

3 authors at 2 institutions in 2 countries.

Ayodele T AdesojiDepartment of Microbiology, Federal University Dutsin-Ma, Katsina State, Nigeria.
Isaac O OlatoyeDepartment of Veterinary Public Health and Preventive Medicine, University of Ibadan, Oyo State, Nigeria.
Adeniyi A OgunjobiDepartment of Microbiology, University of Ibadan, Oyo State, Nigeria.
University of Ibadan · NGFederal University Dutsin-Ma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multi-drug Resistant (MDR) bacteria could lead to treatment failure of infectious diseases and could be transferred by non-potable water. Few studies have investigated occurrence of Antibiotic Resistance Genes (ARGs) among bacteria including Aminoglycoside Modifying Genes (AMGs) from Drinking Water Distribution Systems (DWDS) in Nigeria. Here, we aimed at characterization of AMGs from DWDS from selected states in southwestern Nigeria. Methods: One hundred and eighty one (181) MDR bacteria that had been previously characterized using 16S rDNA and showed resistance to at least one aminoglycoside antibiotic were selected from treated and untreated six water distribution systems in southwestern Nigeria. MDR bacteria were PCR genotyped for three AMGs:aph (3″) Results: Out of 181 MDR bacteria genotyped, 69(38.12%) tested positive for at least one of the genotyped AMGs. Highest (50, 27.62%) detected gene was ant (3″) Conclusions: High occurrence of ant (3″)

Indexed as

Water MicrobiologyAminoglycosidesAnti-Bacterial AgentsBacteriaDrinking WaterDrug Resistance, BacterialDrug Resistance, Multiple, BacterialGenotyping TechniquesNigeriaAminoglycosidesAnti-Bacterial AgentsDrinking WaterAminoglycoside-modifying geneantibiotic resistancetreated water and untreated water

Identifiers

PMID31447500
PMCPMC6689724
OpenAlexW2959276448

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.