Evidence map›Paper›PMID 29350281›Full record

ReviewParasitology research2018

An overview of methods/techniques for the detection of Cryptosporidium in food samples.

Shahira A Ahmed, Panagiotis Karanis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Parasitology research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Current research in parasitology & vector-borne diseases · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. The Presence of Potentially Pathogenic Protozoa in Lettuce (International journal of environmental research and public health · 2023
    Article
  8. Anti-Frontiers in microbiology · 2023
    Article
  9. Diagnosis and control of cryptosporidiosis in farm animals.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Detection of InfectiousMicroorganisms · 2021
    Article
  16. Prevalence ofJournal of environmental health science & engineering · 2020
    Review
  17. African health sciences · 2020
    Article
  18. International journal of environmental research and public health · 2020
    Review
  19. Review
  20. 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

2 authors at 2 institutions in 3 countries.

Shahira A AhmedDepartment of Parasitology, Faculty of Medicine, Suez Canal University, Ismailia, 41522, Egypt. shahira_ahmed@med.suez.edu.eg.
Panagiotis KaranisState Key Laboratory of Plateau Ecology and Agriculture, Centre for Biomedicine and Infectious Diseases (CBID), Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, Qinghai, 810016, People's Republic of China. panagiotis.karanis@uk-koeln.de.ORCID http://orcid.org/0000-0002-0733-0470
Suez Canal University · EGTH Köln - University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptosporidium is one of the most important parasitic protozoa of concern within the food production industry, worldwide. This review describes the evolution and its development, and it monitors the methodology that has been used for Cryptosporidium in food material since 1984, when the first publication appeared regarding the detection of Cryptosporidium parvum in food materials. The methods that are currently being used for the detection of Cryptosporidium oocysts in food material (mainly vegetables) and all of the other available published methods are discussed in this review. Generating more consistent and reliable data should lead to a better understanding of the occurrence, transport and fate of the oocysts in food material. Improvements in monitoring and developing effective methodology, along with food security, offer more practical possibilities for both the developed and developing worlds.

Indexed as

AnimalsCryptosporidiumCryptosporidium parvumFood ParasitologyHumansOocystsVegetablesCryptosporidiumDetectionFoodMethodologiesOverview

Identifiers

PMID29350281
OpenAlexW2784644575

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.