Evidence map›Paper›PMID 42094704›Full record

ArticleFood and waterborne parasitology2026

Prevalence and identification of metacercarial infections in freshwater fish in Hunan Province.

Jiahao Wang, Asmaa M I Abuzeid, Caiwei Zhou, Mingye He, Wei Liu

Abstract read
In one paragraph

Article in Food and waterborne parasitology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jiahao WangCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan, China.
Asmaa M I AbuzeidDepartment of Parasitology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, Egypt.
Caiwei ZhouCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan, China.
Mingye HeCollege of Modern Agriculture, Yiyang Vocational and Technical College, Yiyang, China.
Wei LiuCollege of Veterinary Medicine, Hunan Agricultural University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fish-borne trematodes are prevalent parasites affecting about 80 million people globally. This study aims to identify the common trematode metacercariae species in freshwater fish from Hunan Province, China. We collected 521 fish representing 23 species from seven cities, spanning the major water systems: the Xiangjiang River, Dongting Lake, and the Liuyang River. Metacercariae were detected using compression and artificial digestion methods. Common metacercarial forms were identified using morphological and molecular tools. The internal transcribed spacer (ITS) region was amplified by PCR, and the resulting sequences were used to assess the phylogenetic relationships. Predominant metacercariae were identified as Cyathocotylidae sp. and Heterophyidae sp. based on morphological features, homology analysis, and maximum likelihood (ML) and Bayesian inference (BI) phylogenetic analyses. Nineteen (82.6%) of the 23 examined fish species were infected. Overall metacercarial prevalence was 24.38% using the compression method and 42.15% using the artificial digestion method. Prevalence significantly differed across cities, water sources, and fish species. Cities with the highest prevalence were Xiangtan (41.18-70.59%) and Yueyang (43.28-59.62%). Rivers and lakes represented the high-prevalence water sources, whereas reservoirs showed extremely low prevalence (0% using the compression method and 0-2.7% using the digestion method). Crucian carp (

Indexed as

CyathocotylidaeFreshwater fishHeterophyidaeIdentificationPrevalenceTrematode

Identifiers

PMID42094704
PMCPMC13141543

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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.