Evidence map›Paper›PMID 33022912›Full record

ReviewFoods (Basel, Switzerland)2020

Proteomic Insights into the Biology of the Most Important Foodborne Parasites in Europe.

Robert Stryiński, Elżbieta Łopieńska-Biernat, Mónica Carrera

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Clinical Proteomics Applied to Food Allergy.Advances in experimental medicine and biology · 2026
    Review
  4. Review
  5. Review
  6. Proteomics Applications inPathogens (Basel, Switzerland) · 2023
    Review
  7. Food for Thought: Proteomics for Meat Safety.Life (Basel, Switzerland) · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Mining the Proteome ofAnimals : an open access journal from MDPI · 2022
    Review
  12. Tandem Mass Tagging (TMT) Reveals Tissue-Specific Proteome of L4 Larvae ofInternational journal of molecular sciences · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. 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

3 authors.

Robert StryińskiDepartment of Biochemistry, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland.
Elżbieta Łopieńska-BiernatDepartment of Biochemistry, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland.
Mónica CarreraDepartment of Food Technology, Marine Research Institute (IIM), Spanish National Research Council (CSIC), 36-208 Vigo, Spain.

Funding

AEI/EU-FEDER PID2019-103845RB-C21European Social Fund POWR.03.05.00-00-Z310/17Xunta de Galicia IN607D 2017/01
6 · The paper itself

Abstract

Foodborne parasitoses compared with bacterial and viral-caused diseases seem to be neglected, and their unrecognition is a serious issue. Parasitic diseases transmitted by food are currently becoming more common. Constantly changing eating habits, new culinary trends, and easier access to food make foodborne parasites' transmission effortless, and the increase in the diagnosis of foodborne parasitic diseases in noted worldwide. This work presents the applications of numerous proteomic methods into the studies on foodborne parasites and their possible use in targeted diagnostics. Potential directions for the future are also provided.

Indexed as

biomarkerfoodfoodborne parasiteliquid chromatography-tandem mass spectrometry (LC-MS/MS)proteomics

Identifiers

PMID33022912
PMCPMC7601233

What Socratic 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 Socratic graph.