Evidence map›Paper›PMID 30804908›Full record

ArticleFrontiers in microbiology2019

Predicting Directions of Changes in Genotype Proportions Between Norovirus Seasons in Japan.

Yoshiyuki Suzuki, Yen Hai Doan, Hirokazu Kimura, Hiroto Shinomiya, Komei Shirabe, Kazuhiko Katayama

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

6 authors at 5 institutions in 1 country.

Yoshiyuki SuzukiGraduate School of Natural Sciences, Nagoya City University, Nagoya, Japan.
Yen Hai DoanDepartment of Virology II, National Institute of Infectious Diseases, Musashimurayama, Japan.
Hirokazu KimuraGraduate School of Health Science, Gunma Paz University, Takasaki, Japan.
Hiroto ShinomiyaDepartment of Microbiology, Ehime Prefecctural Institute of Public Health and Environmental Science, Matsuyama, Japan.
Komei ShirabeDivision of Virology, Yamaguchi Prefectural Institute of Public Health and Environment, Yamaguchi, Japan.
Kazuhiko KatayamaKitasato Institute for Life Sciences, Kitasato University, Minato, Japan.
Gumma Paz College · JPKitasato Institute Hospital · JPNagoya City University · JPNational Institute of Infectious Diseases · JPShimane Prefectural Institute of Public Health and Environmental Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The norovirus forecasting system (NOROCAST) has been developed for predicting directions of changes in genotype proportions between human norovirus (HuNoV) seasons in Japan through modeling herd immunity to structural protein 1 (VP1). Here 404 nearly complete genomic sequences of HuNoV were analyzed to examine whether the performance of NOROCAST could be improved by modeling herd immunity to VP2 and non-structural proteins (NS) in addition to VP1. It was found that the applicability of NOROCAST may be extended by compensating for unavailable sequence data and observed genotype proportions of 0 in each season. Incorporation of herd immunity to VP2 and NS did not appear to improve the performance of NOROCAST, suggesting that VP1 may be a suitable target of vaccines.

Indexed as

genotype proportionherd immunitynoroviruspredictionvaccine

Identifiers

PMID30804908
PMCPMC6370659
OpenAlexW2914785200

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.