Evidence map›Paper›PMID 28882172›Full record

SynthesisParasites & vectors2017

Meta-analyses of the proportion of Japanese encephalitis virus infection in vectors and vertebrate hosts.

Ana R S Oliveira, Lee W Cohnstaedt, Erin Strathe, Luciana Etcheverry Hernández, D Scott McVey, José Piaggio, Natalia Cernicchiaro

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Parasites & vectors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Ana R S OliveiraDepartment of Diagnostic Medicine and Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.
Lee W CohnstaedtUnited States Department of Agriculture-Agricultural Research Service (USDA-ARS) Arthropod-Borne Animal Diseases Research, 1515 College Ave., Manhattan, KS, USA.
Erin StratheDepartment of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.
Luciana Etcheverry HernándezDepartment of Diagnostic Medicine and Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.
D Scott McVeyUnited States Department of Agriculture-Agricultural Research Service (USDA-ARS) Arthropod-Borne Animal Diseases Research, 1515 College Ave., Manhattan, KS, USA.
José PiaggioSchool of Veterinary Medicine, University of the Republic, Montevideo, Uruguay.
Natalia CernicchiaroDepartment of Diagnostic Medicine and Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA. ncernic@vet.k-state.edu.
Kansas State University · USAgricultural Research Service · USCenter for Grain and Animal Health Research · USUniversidad de Montevideo · UY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundJapanese encephalitis (JE) is a zoonosis in Southeast Asia vectored by mosquitoes infected with the Japanese encephalitis virus (JEV). Japanese encephalitis is considered an emerging exotic infectious disease with potential for introduction in currently JEV-free countries. Pigs and ardeid birds are reservoir hosts and play a major role on the transmission dynamics of the disease. The objective of the study was to quantitatively summarize the proportion of JEV infection in vectors and vertebrate hosts from data pertaining to observational studies obtained in a systematic review of the literature on vector and host competence for JEV, using meta-analyses.

methodsData gathered in this study pertained to three outcomes: proportion of JEV infection in vectors, proportion of JEV infection in vertebrate hosts, and minimum infection rate (MIR) in vectors. Random-effects subgroup meta-analysis models were fitted by species (mosquito or vertebrate host species) to estimate pooled summary measures, as well as to compute the variance between studies. Meta-regression models were fitted to assess the association between different predictors and the outcomes of interest and to identify sources of heterogeneity among studies. Predictors included in all models were mosquito/vertebrate host species, diagnostic methods, mosquito capture methods, season, country/region, age category, and number of mosquitos per pool.

resultsMosquito species, diagnostic method, country, and capture method represented important sources of heterogeneity associated with the proportion of JEV infection; host species and region were considered sources of heterogeneity associated with the proportion of JEV infection in hosts; and diagnostic and mosquito capture methods were deemed important contributors of heterogeneity for the MIR outcome.

conclusionsOur findings provide reference pooled summary estimates of vector competence for JEV for some mosquito species, as well as of sources of variability for these outcomes. Moreover, this work provides useful guidelines when interpreting vector and host infection proportions or prevalence from observational studies, and contributes to further our understanding of vector and vertebrate host competence for JEV, elucidating information on the relative importance of vectors and hosts on JEV introduction and transmission.

Indexed as

AnimalsCulexEncephalitis, JapaneseEncephalitis Virus, JapaneseHumansMosquito VectorsObservational Studies as TopicRegression AnalysisSeasonsSwineVertebratesZoonosesCompetenceHostJapanese encephalitisJapanese encephalitis virusMeta-analysisVector

Identifiers

PMID28882172
PMCPMC5590142
OpenAlexW2751308199

What OpenQuestion holds

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LicenceCC BY
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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.