Evidence map›Paper›PMID 27509518›Full record

SynthesisViruses2016

Hepatitis E Seroprevalence in Europe: A Meta-Analysis.

Johannes Hartl, Benjamin Otto, Richie Guy Madden, Glynn Webb, Kathy Louise Woolson, Levente Kriston, Eik Vettorazzi, Ansgar W Lohse, Harry Richard Dalton, Sven Pischke

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Viruses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 13 pooled it
–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

114 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  9. The global epidemiology of hepatitis E virus infection: A systematic review and meta-analysis.Liver international : official journal of the International Association for the Study of the Liver · 2020
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54 more citing papers are in PubMed but not listed here.

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

10 authors.

Johannes HartlFirst Medical Department, University Medical Center Hamburg-Eppendorf, University Hospital Hamburg Eppendorf (UKE), 20246, Hamburg, Germany. j.hartl@uke.de.
Benjamin OttoFirst Medical Department, University Medical Center Hamburg-Eppendorf, University Hospital Hamburg Eppendorf (UKE), 20246, Hamburg, Germany. b.otte@uke.de.
Richie Guy MaddenRoyal Cornwall Hospital Trust and European Centre for Environment and Human Health, University of Exeter, Truro TR1 3HD, UK. richie@forfey.com.
Glynn WebbRoyal Cornwall Hospital Trust and European Centre for Environment and Human Health, University of Exeter, Truro TR1 3HD, UK. glynn.webb@students.pcmd.ac.uk.
Kathy Louise WoolsonRoyal Cornwall Hospital Trust and European Centre for Environment and Human Health, University of Exeter, Truro TR1 3HD, UK. kathy.woolson@nhs.net.
Levente KristonDepartment of Medical Psychology, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany. l.kriston@uke.de.
Eik VettorazziDepartment of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany. e.vettorazzi@uke.de.
Ansgar W LohseFirst Medical Department, University Medical Center Hamburg-Eppendorf, University Hospital Hamburg Eppendorf (UKE), 20246, Hamburg, Germany. alohse@uke.de.
Harry Richard DaltonRoyal Cornwall Hospital Trust and European Centre for Environment and Human Health, University of Exeter, Truro TR1 3HD, UK. Harry.Dalton@rcht.cornwall.nhs.uk.
Sven PischkeFirst Medical Department, University Medical Center Hamburg-Eppendorf, University Hospital Hamburg Eppendorf (UKE), 20246, Hamburg, Germany. s.pischke@uke.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledThere have been large numbers of studies on anti-HEV IgG seroprevalence in Europe, however, the results of these studies have produced high variability of seroprevalence rates, making interpretation increasingly problematic. Therefore, the aim of this study was to develop a clearer understanding of anti-HEV IgG seroprevalence in Europe and identify risk groups for HEV exposure by a meta-analysis of published studies.

methodsAll European HEV-seroprevalence studies from 2003 to 2015 were reviewed. Data were stratified by assay, geographical location, and patient cohort (general population, patients with HIV, solid-organ transplant recipients, chronic liver disease patients, and individuals in contact with swine/wild animals). Data were pooled using a mixed-effects model.

resultsFour hundred thirty-two studies were initially identified, of which 73 studies were included in the analysis. Seroprevalence estimates ranged from 0.6% to 52.5%, increased with age, but were unrelated to gender. General population seroprevalence varied depending on assays: Wantai (WT): 17%, Mikrogen (MG): 10%, MP-diagnostics (MP): 7%, DiaPro: 4%, Abbott 2%. The WT assay reported significantly higher seroprevalence rates across all cohorts (p < 0.001). Individuals in contact with swine/wild animals had significantly higher seroprevalence rates than the general population, irrespective of assay (p < 0.0001). There was no difference between any other cohorts. The highest seroprevalence was observed in France (WT: 32%, MP: 16%) the lowest in Italy (WT: 7.5%, MP 0.9%). Seroprevalence varied between and within countries. The observed heterogeneity was attributed to geographical region (23%), assay employed (23%) and study cohort (7%).

conclusionSeroprevalcence rates primarily depend on the seroassy that is used, followed by the geographical region and study cohort. Seroprevalence is higher in individuals exposed to swine and/or wild animals, and increases with age.

Indexed as

EuropeHepatitis AntibodiesHepatitis EHumansImmunoglobulin GOccupational ExposureRisk FactorsSeroepidemiologic StudiesHepatitis AntibodiesImmunoglobulin Ganti-HEV IgGassaydeveloping countriesEuropegenotype 3hepatitis Eseroprevalenceserosurvey

Identifiers

PMID27509518
PMCPMC4997573

What OpenQuestion holds

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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.