Evidence map›Paper›PMID 31673256›Full record

ArticleIranian journal of parasitology

Detection of Spiked

Sahar Ghodsian, Soheila Rouhani, Shirzad Fallahi, Seyyed Javad Seyyedtabaei, Niloofar Taghipour

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of parasitology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Triclabendazole and Other Fasciolicides: Resistance ofAnimals : an open access journal from MDPI · 2026
    Review
  2. Challenges in Diagnosis and Treatment ofInfectious diseases & clinical microbiology · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. LAMP in Neglected Tropical Diseases: A Focus on Parasites.Diagnostics (Basel, Switzerland) · 2021
    Review
  11. Review
  12. Drug resistance in liver flukes.International journal for parasitology. Drugs and drug resistance · 2020
    Review
  13. Review
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

5 authors at 2 institutions in 1 country.

Sahar GhodsianDepartment of Parasitology and Mycology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Soheila RouhaniDepartment of Parasitology and Mycology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shirzad FallahiDepartment of Parasitology and Mycology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.
Seyyed Javad SeyyedtabaeiDepartment of Parasitology and Mycology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Niloofar TaghipourDepartment of Parasitology and Mycology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRLorestan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFascioliasis is one of the most important food-borne worm disease caused by

methodsInfected liver collected from abattoir in Tehran, Iran in 2017.

resultsLAMP products by using SYBR Green I could detect even a single egg in fecal samples which was visible by change of color from orange to green. There was no cross amplification by other helminths including;

conclusionLAMP seems a rapid, sensitive, cost-effective technique for detection of human fascioliasis.

Indexed as

Fasciola hepaticaLAMPSpiked egg

Identifiers

PMID31673256
PMCPMC6815858
OpenAlexW2975058169

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.