Evidence map›Paper›PMID 25475764›Full record

ArticleFood and environmental virology2015

Nucleotide Correlations Between Rotavirus C Isolates in Clinical Samples from Outbreaks and in Sewage Samples.

Makoto Kumazaki, Shuzo Usuku

Abstract read
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In one paragraph

Article in Food and environmental virology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 93% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Makoto KumazakiDepartment of Testing and Research, Yokohama City Institute of Health, 2-7-1 Tomiokahigashi, Kanazawa-ku, Yokohama, Kanagawa, 236-0051, Japan, ma00-kumazaki@city.yokohama.jp.
Shuzo Usuku
Yokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rotavirus C (RVC) is detected in both sporadic cases and outbreaks of gastroenteritis worldwide. However, the epidemic dynamics of RVC in populations remain poorly understood because the detection rate is low. In this study, raw sewage samples were collected from a wastewater treatment plant in Yokohama, Japan, over 5 years, in 12-month period from September to August, to identify the RVC strains in these samples and compare them with the RVC strains circulating in the population. RVC strains were detected in 15 of the 118 raw sewage samples collected between 2007 and 2012. The highest number of positive samples detected per period (seven) was in 2008-2009. A fragment (225 nucleotides) of the VP7 gene of RVC from 14 sewage samples was sequenced. The nucleotide sequences of 11 strains were completely consistent with those of clinical strains identified in Yokohama. A phylogenetic analysis showed that 13 strains from the sewage samples clustered with several Yokohama outbreak strains and were closely related to the clinical strains (except sewage-derived strain Y11-SW0805-C). Our study demonstrates a correlation between clinical and sewage strains of RVC based on a genetic analysis, and shows that monitoring environmental samples is an effective way to study the strains circulating in a population, including in asymptomatic or mildly symptomatic patients, even when these infections are not detected in clinical samples. This is the first report of the surveillance of RVC in sewage samples in Yokohama, Japan, for molecular epidemiological analysis.

Indexed as

Base SequenceDisease OutbreaksGastroenteritisHumansJapanMolecular Sequence DataPhylogenyRotavirusRotavirus InfectionsSeasonsSewageSewage

Identifiers

PMID25475764
OpenAlexW2000397582

What OpenQuestion holds

Textmetadata
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Registered trials

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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.