Evidence map›Paper›PMID 30555491›Full record

ArticleFrontiers in immunology2018

Mast Cells Respond to

Marco De Zuani, Giuseppe Paolicelli, Teresa Zelante, Giorgia Renga, Luigina Romani, Alessandra Arzese, Carlo E M Pucillo, Barbara Frossi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

21 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Impaired Proliferation of CD8Journal of immunology research · 2024
    Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Roles of Mast Cells in Cutaneous Diseases.Frontiers in immunology · 2022
    Review
  12. Review
  13. Immune Cell Degranulation in Fungal Host Defence.Journal of fungi (Basel, Switzerland) · 2021
    Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Microorganisms · 2020
    Review
  19. Article
  20. 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

8 authors at 2 institutions in 2 countries.

Marco De ZuaniInternational Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia.
Giuseppe PaolicelliDepartment of Experimental Medicine, University of Perugia, Perugia, Italy.
Teresa ZelanteDepartment of Experimental Medicine, University of Perugia, Perugia, Italy.
Giorgia RengaDepartment of Experimental Medicine, University of Perugia, Perugia, Italy.
Luigina RomaniDepartment of Experimental Medicine, University of Perugia, Perugia, Italy.
Alessandra ArzeseDepartment of Medicine, University of Udine, Udine, Italy.
Carlo E M PucilloDepartment of Medicine, University of Udine, Udine, Italy.
Barbara FrossiDepartment of Medicine, University of Udine, Udine, Italy.
University of Perugia · ITUniversity of Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mast cells (MCs) are long-lived immune cells widely distributed at mucosal surfaces and are among the first immune cell type that can get in contact with the external environment. This study aims to unravel the mechanisms of reciprocal influence between mucosal MCs and

Indexed as

PhagocytosisAnimalsCandida albicansCandidiasisCytokinesFemaleLysosomal-Associated Membrane Protein 1Lysosomal Membrane ProteinsMacrophagesMaleMast CellsCytokinesLamp1 protein, mouseLysosomal-Associated Membrane Protein 1Lysosomal Membrane Proteinscandidamacrophagesmast cellsmicrobiotaphagocytosis

Identifiers

PMID30555491
PMCPMC6284040
OpenAlexW2902579872

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.