Evidence map›Paper›PMID 42620638›Full record

ArticleParasite epidemiology and control2026

Epidemiological study and risk factors of internal parasite infections in wild boar (

Moein Abolhasani Drounkola, Mohammad Reza Salimi Bejestani, Emad Changizi

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Moein Abolhasani DrounkolaDepartment of Pathobiology, Faculty of Veterinary Medicine, Semnan University, Semnan, Iran.
Mohammad Reza Salimi BejestaniDepartment of Pathobiology, Faculty of Veterinary Medicine, Semnan University, Semnan, Iran.
Emad ChangiziDepartment of Pathobiology, Faculty of Veterinary Medicine, Semnan University, Semnan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/objective: Given the importance of zoonotic diseases among wildlife, domestic animals, and humans, and the role of wild animals as natural reservoirs of many pathogens, this study was designed to investigate the epidemiology and identify risk factors associated with internal parasitic infections in wild boar ( Methods: From January 2021 to December 2023, 15 wild boars, including 6 males and 9 females, that died in Mazandaran Province, northern Iran, were collected, those that were killed in car accidents or illnesses, and transferred to the Veterinary Parasitology Laboratory of Semnan University, Semnan, Iran, for parasite examination. The contents of the gastrointestinal (GI) tract were sieved, and the mucosa was examined for parasites. For the liver, the bile duct was examined, and for the lungs, the bronchi of both lobes were cut off, and all the parasites in this area were found, sieved, and washed, so that all the remaining worms were collected in the sieve. For muscle examination, several methods were used, including the squash prep test, tissue digestion, pathological assay, and Dab smear. Results: All of the boars had at least one parasite, and 13 species of helminths and protozoa were identified. Eight species of nematodes were identified, including Conclusion: Wild boar populations in Mazandaran province exhibit a high prevalence of internal parasitic infections, indicating the active presence of parasitic cycles in the region's natural habitats.

Indexed as

AcanthocephalaCestodaNematodaProtozoaTrematodaWild boar

Identifiers

PMID42620638
PMCPMC13486375

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.