Evidence map›Paper›PMID 39733038›Full record

ArticleScientific reports2024

Retrospective multidisciplinary analysis of human alveolar echinococcosis in Hungary using spatial epidemiology approaches.

Eszter Csulak, Ágnes Csivincsik, Tamás Sréter, Norbert Solymosi, József Danka, Zsolt Káposztás, Gábor Nagy, Balázs Dezsényi

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. The spread ofFrontiers in veterinary science · 2026
    Article
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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.

Eszter CsulakDepartment of Surgery, Somogy County Teaching Hospital, Kaposvár, 7400, Hungary.
Ágnes CsivincsikDepartment of Physiology and Animal Health, Hungarian University of Agriculture and Life Sciences, Kaposvár Campus, Kaposvár, 7400, Hungary.ORCID 0000-0002-4924-6322
Tamás SréterLaboratory Department of Bacteriology, Mycology and Parasitology, National Center for Public Health and Pharmacy, Budapest, 1097, Hungary.ORCID 0000-0001-5947-4751
Norbert SolymosiCentre for Bioinformatics, University of Veterinary Medicine, Budapest, 1078, Hungary.ORCID 0000-0003-1783-2041
József DankaLaboratory Department of Bacteriology, Mycology and Parasitology, National Center for Public Health and Pharmacy, Budapest, 1097, Hungary.
Zsolt KáposztásDepartment of Surgery, Somogy County Teaching Hospital, Kaposvár, 7400, Hungary.ORCID 0000-0001-9281-0550
Gábor NagyDepartment of Physiology and Animal Health, Hungarian University of Agriculture and Life Sciences, Kaposvár Campus, Kaposvár, 7400, Hungary. gabor.nagy.oh@gmail.com.ORCID 0000-0002-4307-0434
Balázs DezsényiDepartment of Surgery, Transplantation and Gastroenterology, Semmelweis University, Budapest, 1082, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human alveolar echinococcosis (HAE), which is caused by the larval stage of the Echinococcus multilocularis tapeworm, is an increasing healthcare issue in Hungary. Among the 40 known cases in the country, 25 were detected in the last five years. Our study aimed to reveal the geographically underlying risk factors associated potentially with these cases. We investigated the spatial pattern and the impact of potential risk factors of HAE by cluster analysis, and local and global regression models. Also, a questionnaire survey on the patients' lifestyle was implemented. We found two HAE hyperendemic foci in the country with very dissimilar biotic and climatic features, and controversial impact of different environmental factors. Four factors, viz. forest cover (β = 0.291, p < 0.0001), surface soil wetness (β = - 0.157, p = 0.033), fox infection rate (β = 0.369, p < 0.0001) and socio-economic development (β = - 0.216, p = 0.009), proved important countrywide. The most forested and the least developed districts showed the highest HAE risk. Among the patients, kitchen gardening (67.86%) and dog ownership (67.86%) seemed the riskiest activities. Our models detected an anomaly in one of the poorest regions of Hungary where all risk factors behaved contrary to that of the neighboring areas. This phenomenon was supposed to be the result of under-detection of the disease, and it called attention to the urgent priority of knowledge dissemination to the public and the healthcare professionals.

Indexed as

EchinococcosisEchinococcus multilocularisAdolescentAdultAgedAnimalsCluster AnalysisDogsFemaleHumansHungaryMaleMiddle AgedRetrospective StudiesRisk FactorsSpatial AnalysisCulture of povertyEchinococcus multilocularisHuman alveolar echinococcosisHungarySpatial epidemiology

Identifiers

PMID39733038
PMCPMC11682265

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LicenceCC BY-NC-ND
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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.