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

  • Song Liang
  • , Keerati Ponpetch
  • , Yi Biao Zhou
  • , Jiagang Guo
  • , Berhanu Erko
  • , Russell Stothard
  • , M. Hassan Murad
  • , Xiao Nong Zhou
  • , Fadjar Satrija
  • , Joanne P. Webster
  • , Justin V. Remais
  • , Jürg Utzinger
  • , Amadou Garba

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

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.

Original languageEnglish
Article numbere0010389
Pages (from-to)e0010389
JournalPLoS Neglected Tropical Diseases
Volume16
Issue number5
Early online date6 May 2022
DOIs
Publication statusPublished - 6 May 2022

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