Evidence map›Paper›PMID 30405577›Full record

ArticleFrontiers in microbiology2018

Reduced Chlorine in Drinking Water Distribution Systems Impacts Bacterial Biodiversity in Biofilms.

Claire Bertelli, Sophie Courtois, Marta Rosikiewicz, Philippe Piriou, Sébastien Aeby, Samuel Robert, Jean-François Loret, Gilbert Greub

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 114 citations in OpenAlex.

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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 2 countries.

Claire BertelliInstitute of Microbiology, University Hospital Center and University of Lausanne, Lausanne, Switzerland.
Sophie CourtoisSuez CIRSEE, Le Pecq, France.
Marta RosikiewiczInstitute of Microbiology, University Hospital Center and University of Lausanne, Lausanne, Switzerland.
Philippe PiriouSuez CIRSEE, Le Pecq, France.
Sébastien AebyInstitute of Microbiology, University Hospital Center and University of Lausanne, Lausanne, Switzerland.
Samuel RobertSuez CIRSEE, Le Pecq, France.
Jean-François LoretSuez CIRSEE, Le Pecq, France.
Gilbert GreubInstitute of Microbiology, University Hospital Center and University of Lausanne, Lausanne, Switzerland.
Suez (France) · FRUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In drinking water distribution systems (DWDS), a disinfectant residual is usually applied to limit bacterial regrowth. However, delivering water with no or reduced chlorine residual could potentially decrease the selection for antimicrobial resistant microorganisms, favor bacterial regrowth and result in changes in bacterial populations. To evaluate the feasibility of water reduction in local DWDS while ensuring water safety, water quality was measured over 2 months in two different networks, each of them harboring sub-areas with normal and reduced chlorine. Water quality remained good in chlorine reduced samples, with limited development of total flora and absence of coliforms. Furthermore, 16S rRNA amplicon-based metagenomics was used to investigate the diversity and the composition of microbial communities in the sub-networks. Taxonomic classification of sequence reads showed a reduced bacterial diversity in sampling points with higher chlorine residuals. Chlorine disinfection created more homogeneous bacterial population, dominated by

Indexed as

16S rRNAbiofilmchlorinationchlorinedrinking watermetagenomicsmicrobiome

Identifiers

PMID30405577
PMCPMC6205969
OpenAlexW2895005892

What OpenQuestion holds

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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.