Evidence map›Paper›PMID 38172375›Full record

SynthesisArchives of virology2024

Using molecular methods to delineate norovirus outbreaks: a systematic review.

Luqiu Tao, Xinyang Zhang, Xuan Wang, Jie Ding

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Archives of virology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Luqiu TaoNanjing Municipal Center for Disease Control and Prevention affiliated to Nanjing Medical University, Zizhulin 2, 210003, Nanjing, Jiangsu, China.ORCID http://orcid.org/0009-0002-5939-6970
Xinyang ZhangNanjing Municipal Center for Disease Control and Prevention affiliated to Nanjing Medical University, Zizhulin 2, 210003, Nanjing, Jiangsu, China.
Xuan WangNanjing Municipal Center for Disease Control and Prevention affiliated to Nanjing Medical University, Zizhulin 2, 210003, Nanjing, Jiangsu, China.
Jie DingNanjing Municipal Center for Disease Control and Prevention affiliated to Nanjing Medical University, Zizhulin 2, 210003, Nanjing, Jiangsu, China. yu2an2002@163.com.ORCID http://orcid.org/0000-0002-0225-2856

Funding

Jiangsu Commission of Health H2019019
6 · The paper itself

Abstract

Noroviruses are among the major causative agents of human acute gastroenteritis, and the nature of norovirus outbreaks can differ considerably. The number of single-nucleotide polymorphisms (SNPs) between strains is used to assess their relationships. There is currently no universally accepted cutoff value for clustering strains that define an outbreak or linking the individuals involved. This study was conducted to estimate the threshold value of genomic variations among related strains within norovirus outbreaks. We carried out a literature search in the PubMed and Web of Science databases. SNP rates were defined as the number of SNPs/sequence length (bp) × 100%. The Mann-Whitney U-test was used in comparisons of the distribution of SNP rates for different sequence regions, genogroups (GI and GII), transmission routes, and sequencing methods. A total of 25 articles reporting on 108 norovirus outbreaks were included. In 99.1% of the outbreaks, the SNP rates were below 0.50%, and in 89.8%, the SNP rates were under 0.20%. Outbreak strains showed higher SNP rates when the P2 domain was used for sequence analysis (Z = -2.652, p = 0.008) and when an NGS method was used (Z = -3.686, p < 0.001). Outbreaks caused by different norovirus genotypes showed no significant difference in SNP rates. Compared with person-to-person outbreaks, SNP rates were lower in common-source outbreaks, but no significant difference was found when differences in sequencing methods were taken into consideraton. SNP rates under 0.20% and 0.50% could be considered as the rigorous and relaxed threshold, respectively, of strain similarity within a norovirus outbreak. More data are needed to evaluate differences within and between various norovirus outbreaks.

Indexed as

Caliciviridae InfectionsGastroenteritisNorovirusDisease OutbreaksGenotypeHumansPhylogenySequence AnalysisGenomic variationNorovirusOutbreak surveillanceOutbreak tracingSingle-nucleotide polymorphisms

Identifiers

What OpenQuestion holds

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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.