Establishing a predictive model for liver fluke infection on the basis of early changes in laboratory indicators: a retrospective study

This study developed an early risk prediction model for liver fluke infection using routine laboratory test data. Compared with previously reported biomarkers, the model demonstrated superior diagnostic performance and showed potential as a clinical tool for identifying early stage liver fluke infection in patients.

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Publication Details

Journal
Parasites & Vectors
Published
2025-05-22
DOI
https://doi.org/10.1186/s13071-025-06833-9
Citations
1
Primary Topic
Parasites and Host Interactions
Type
article
Field-Weighted Citation Impact
2.05
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article

Establishing a predictive model for liver fluke infection on the basis of early changes in laboratory indicators: a retrospective study

Tie Wang, Yiting Wang, Chongchong Feng, Xin Wen
1 citations
Parasites & Vectors
Parasites and Host Interactions
2.05
article

Establishing a predictive model for liver fluke infection on the basis of early changes in laboratory indicators: a retrospective study

Tie Wang, Yiting Wang, Chongchong Feng, Xin Wen
article en
1 citations

Abstract

This study developed an early risk prediction model for liver fluke infection using routine laboratory test data. Compared with previously reported biomarkers, the model demonstrated superior diagnostic performance and showed potential as a clinical tool for identifying early stage liver fluke infection in patients.

Parasites & VectorsVol. 18(1)
Jilin University (CN), First Hospital of Jilin University (CN), Second Affiliated Hospital of Jilin University (CN)
Reduced inequalities
Openalex Percentile: Top 17%
Parasites and Host Interactions
2.05
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