Evidence map›Paper›PMID 30560045›Full record

ArticleCurrent clinical microbiology reports2018

Adaptation of

Animesh A Mishra, Andrew Y Koh

Abstract read
In one paragraph

Article in Current clinical microbiology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Microbiology and molecular biology reviews : MMBR · 2024
    Review
  6. Microorganisms · 2023
    Article
  7. Review
  8. Intestinal colonization withFrontiers in immunology · 2023
    Article
  9. Impact of changes at theCell surface (Amsterdam, Netherlands) · 2022
    Article
  10. Article
  11. Review
  12. BMJ case reports · 2021
    Article
  13. Review
  14. Journal of fungi (Basel, Switzerland) · 2021
    Review
  15. Review
  16. Review
  17. Applying the Host-Microbe Damage Response Framework toJournal of fungi (Basel, Switzerland) · 2020
    Review
  18. New Insights inFrontiers in cellular and infection microbiology · 2020
    Review
  19. 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

2 authors at 1 institution in 1 country.

Animesh A MishraDepartment of Microbiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Andrew Y KohDepartment of Microbiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
The University of Texas Southwestern Medical Center · US

Funding

Candida Albicans Gastrointestinal Colonization and DisseminationR01AI123163 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI KOH, ANDREW · 2016 to 2020
$2.0M
NIAID NIH HHS R01 AI123163
6 · The paper itself

Abstract

purpose of reviewColonization of the gastrointestinal (GI) tract with RECENT

findingsRecent data reveal the importance of 1) CA genetic determinants; 2) host factors; and 3) environmental factors in modulating CA GI colonization in humans. SUMMARY: As evidence continues to grow supporting the notion that the GI tract and its resident microbiota are an integral part of the host immune system, it will be critical for studies to interrogate the interaction of CA with the host (including both the host innate and adaptive immune system as well as the endogenous gut microbiota) in order to dissect the mechanisms of CA pathogenesis and thus lay the foundation for novel therapeutic approaches to prevent and/or treat invasive fungal infections.

Indexed as

bloodstream infectionCandidacolonization resistancegut microbiotapathobiont

Identifiers

PMID30560045
PMCPMC6294318
OpenAlexW2808030776

What OpenQuestion holds

Textmetadata
LicenceTDM
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.