Evidence map›Paper›PMID 23943065›Full record

ArticleFood and environmental virology2013

GIV Noroviruses in Wastewaters and in Stool Specimens from Hospitalized Patients.

M Muscillo, M Fratini, R Graffeo, M Sanguinetti, V Martella, K Y Green, S Della Libera, Giuseppina La Rosa

Open access · greenAbstract read
In one paragraph

Article in Food and environmental virology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Rare Norovirus GIV Foodborne Outbreak, Wisconsin, USA.Emerging infectious diseases · 2021
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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 4 institutions in 2 countries.

M MuscilloDepartment of Environment and Primary Prevention, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.
M Fratini
R Graffeo
M Sanguinetti
V Martella
K Y Green
S Della Libera
Giuseppina La Rosa
Istituto Superiore di Sanità · ITUniversità Cattolica del Sacro Cuore · ITNational Institute of Allergy and Infectious Diseases · USUniversity of Bari Aldo Moro · IT

Funding

Noroviruses and Epidemic GastroenteritisZIAAI000897 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI GREEN, KIM Y. · 2009 to 2025
$29.6M
The Norwalk-like Caliciviruses: Epidemic GastroenteritisZ01AI000897 · NIAID · NIAID EXTRAMURAL ACTIVITIES · PI GREEN, KIM Y. · 2001 to 2008
$3.6M
Intramural NIH HHS Z01 AI000897
6 · The paper itself

Abstract

Noroviruses (NoVs) are important human pathogens associated with foodborne and waterborne gastroenteritis. These viruses are genetically highly heterogeneous, with more than forty genotypes within three genogroups (GI, GII, and GIV) identified in humans. However, the vast majority of human infections are associated with variants of a unique genotype, GII.4. Aside from these NoV strains of epidemiological relevance, NoV strains of genogroup GIV (Alphatron-like) are reported in a sporadic fashion and their overall prevalence in the community is unknown and this likely reflects the lack of specific diagnostic tools. We analyzed raw sewages collected from 32 wastewater treatment plants distributed throughout Italy (307 samples) and stool specimens collected from hospitalized patients with clinical signs of diarrhea of unknown etiology (285 samples). By using specific qualitative and quantitative RT-PCR assays, 21.8 % of the sewage samples and 3.2 % of the stool specimens tested positive for GIV NoVs. The number of genome copies in fecal samples ranged from 5.08 × 10

Identifiers

PMID23943065
PMCPMC5570654
OpenAlexW2114543108

What OpenQuestion holds

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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.