Evidence map›Paper›PMID 39816526›Full record

ReviewJournal of parasitology research2025

Conventional and Advanced Methods Used for the Diagnosis of Fascioliosis, a Food-Borne Zoonotic Disease.

Md Haydar Ali, Md Shahadat Hossain, Sharmin Shahid Labony, Anita Rani Dey, Joydeep Paul, Md Abu Hadi Noor Ali Khan, Md Abdul Alim, Anisuzzaman

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of parasitology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

8 authors.

Md Haydar AliDepartment of Parasitology, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0009-0004-0624-8055
Md Shahadat HossainDepartment of Parasitology, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0002-6176-1036
Sharmin Shahid LabonyDepartment of Parasitology, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0009-0004-6500-7067
Anita Rani DeyDepartment of Parasitology, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0001-5462-7982
Joydeep PaulDepartment of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, India.ORCID https://orcid.org/0000-0002-9444-1338
Md Abu Hadi Noor Ali KhanDepartment of Pathology, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0002-8409-4571
Md Abdul AlimDepartment of Parasitology, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0003-0021-2604
AnisuzzamanDepartment of Parasitology, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0002-7350-3093

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fascioliosis is a food-borne zoonotic helminth infection caused by flatworms belonging to the family Fasciolidae, primarily affecting ruminants. The chronic form of fascioliosis is the most prevalent and is characterized by anemia, weight loss, cirrhosis, and liver dysfunction, along with atrophy, jaundice, and bottle jaw. In humans, infection results in fever, nausea, skin rashes, and severe abdominal pain. Climate changes and human-driven environmental alterations have contributed to an increasing incidence of fascioliosis in various regions.

Indexed as

diagnostic methodsFasciola giganticaFasciola hepaticaparthenogenic Fasciola

Identifiers

PMID39816526
PMCPMC11732280

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.