Evidence map›Paper›PMID 22235206›Full record

ArticleInternational journal of microbiology2012

Hosting infection: experimental models to assay Candida virulence.

Donna M Maccallum

Open access · goldAbstract read
In one paragraph

Article in International journal of microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

54 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Epidemiology, Risk Factors and Clinical Outcome of Candidaemia:Sultan Qaboos University medical journal · 2025
    Observational
  5. From Bench to Body: ProtectiveJournal of cellular immunology · 2025
    Article
  6. Article
  7. A mouse model of immunosuppression facilitates oralFrontiers in cellular and infection microbiology · 2024
    Article
  8. Article
  9. Selection of Ethanol Tolerant Strains ofbioRxiv : the preprint server for biology · 2023
    Article
  10. Biofilm Formation in Medically ImportantJournal of fungi (Basel, Switzerland) · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. UsingVirulence · 2022
    Article
  15. Article
  16. InvestigatingJournal of fungi (Basel, Switzerland) · 2021
    Article
  17. Article
  18. Review
  19. Virulence Factors and Antifungal Susceptibility Profile ofJournal of fungi (Basel, Switzerland) · 2021
    Article
  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

1 author at 1 institution in 1 country.

Donna M MaccallumAberdeen Fungal Group, School of Medical Sciences, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, UK.
University of Aberdeen · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although normally commensals in humans, Candida albicans, Candida tropicalis, Candida parapsilosis, Candida glabrata, and Candida krusei are capable of causing opportunistic infections in individuals with altered physiological and/or immunological responses. These fungal species are linked with a variety of infections, including oral, vaginal, gastrointestinal, and systemic infections, with C. albicans the major cause of infection. To assess the ability of different Candida species and strains to cause infection and disease requires the use of experimental infection models. This paper discusses the mucosal and systemic models of infection available to assay Candida virulence and gives examples of some of the knowledge that has been gained to date from these models.

Identifiers

PMID22235206
PMCPMC3253448
OpenAlexW2030072837

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.