Evidence map›Paper›PMID 30918503›Full record

ArticleFrontiers in microbiology2019

Detection of Aminoglycoside Resistant Bacteria in Sludge Samples From Norwegian Drinking Water Treatment Plants.

Ingvild F Ullmann, Hege S Tunsjø, Monica Andreassen, Kaare Magne Nielsen, Vidar Lund, Colin Charnock

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  5. The Invisible Threat of Antibiotic Resistance in Food.Antibiotics (Basel, Switzerland) · 2025
    Review
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  7. Article
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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

6 authors at 2 institutions in 1 country.

Ingvild F UllmannDepartment of Life Sciences and Health, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Hege S TunsjøDepartment of Life Sciences and Health, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Monica AndreassenDepartment of Zoonotic, Food- and Waterborne Infections, Norwegian Institute of Public Health, Oslo, Norway.
Kaare Magne NielsenDepartment of Life Sciences and Health, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Vidar LundDepartment of Zoonotic, Food- and Waterborne Infections, Norwegian Institute of Public Health, Oslo, Norway.
Colin CharnockDepartment of Life Sciences and Health, OsloMet - Oslo Metropolitan University, Oslo, Norway.
OsloMet – Oslo Metropolitan University · NONorwegian Institute of Public Health · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Through a culture-based approach using sludge from drinking water treatment plants, this study reports on the presence of aminoglycoside resistant bacteria at 23 different geographical locations in Norway. Sludge samples are derived from a large environmental area including drinking water sources and their surrounding catchment areas. Aminoglycoside resistant bacteria were detected at 18 of the sample sites. Only five samples did not show any growth of isolates resistant to the selected aminoglycosides, kanamycin and gentamycin. There was a statistically significant correlation between the numbers of kanamycin and gentamycin resistant bacteria isolated from the 23 samples, perhaps suggesting common determinants of resistance. Based on 16S rRNA sequencing of 223 aminoglycoside resistant isolates, three different genera of

Indexed as

agricultureantimicrobial resistance (AMR)drinking waterenvironmental bacteriasludgewater treatment

Identifiers

PMID30918503
PMCPMC6424899
OpenAlexW2921783212

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.