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Meta-Analysis
. 2022 May 6;16(5):e0010389.
doi: 10.1371/journal.pntd.0010389. eCollection 2022 May.

Diagnosis of Schistosoma infection in non-human animal hosts: A systematic review and meta-analysis

Affiliations
Meta-Analysis

Diagnosis of Schistosoma infection in non-human animal hosts: A systematic review and meta-analysis

Song Liang et al. PLoS Negl Trop Dis. .

Abstract

Background: Reliable and field-applicable diagnosis of schistosome infections in non-human animals is important for surveillance, control, and verification of interruption of human schistosomiasis transmission. This study aimed to summarize uses of available diagnostic techniques through a systematic review and meta-analysis.

Methodology and principal findings: We systematically searched the literature and reports comparing two or more diagnostic tests in non-human animals for schistosome infection. Out of 4,909 articles and reports screened, 19 met our inclusion criteria, four of which were considered in the meta-analysis. A total of 14 techniques (parasitologic, immunologic, and molecular) and nine types of non-human animals were involved in the studies. Notably, four studies compared parasitologic tests (miracidium hatching test (MHT), Kato-Katz (KK), the Danish Bilharziasis Laboratory technique (DBL), and formalin-ethyl acetate sedimentation-digestion (FEA-SD)) with quantitative polymerase chain reaction (qPCR), and sensitivity estimates (using qPCR as the reference) were extracted and included in the meta-analyses, showing significant heterogeneity across studies and animal hosts. The pooled estimate of sensitivity was 0.21 (95% confidence interval (CI): 0.03-0.48) with FEA-SD showing highest sensitivity (0.89, 95% CI: 0.65-1.00).

Conclusions/significance: Our findings suggest that the parasitologic technique FEA-SD and the molecular technique qPCR are the most promising techniques for schistosome diagnosis in non-human animal hosts. Future studies are needed for validation and standardization of the techniques for real-world field applications.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Inclusion and exclusion of studies on diagnosis of Schistosoma infections in animals and search results.
Fig 2
Fig 2. Meta-analysis of sensitivity of selected diagnostic techniques for the diagnosis of schistosome in non-human animals.

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