Evidence map›Paper›PMID 29120455›Full record

ReviewJournal of perinatology : official journal of the California Perinatal Association2018

Manipulating the microbiome: evolution of a strategy to prevent S. aureus disease in children.

D F Khamash, A Voskertchian, A M Milstone

Abstract readReview
In one paragraph

Review in Journal of perinatology : official journal of the California Perinatal Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Frontiers in microbiomes · 2024
    Article
  3. Microbiome dysbiosis: a modifiable state and target to prevent Staphylococcus aureus infections and other diseases in neonates.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Review
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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.

D F KhamashDivision of Pediatric Infectious Diseases, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
A VoskertchianDivision of Pediatric Infectious Diseases, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
A M MilstoneDivision of Pediatric Infectious Diseases, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

Decreasing Neonatal Staphylococcus aureus Disease Through Parental InterventionR01HS022872 · AHRQ · JOHNS HOPKINS UNIVERSITY · PI MILSTONE, AARON M · 2014 to 2017
$1.9M
AHRQ HHS R01 HS022872
6 · The paper itself

Abstract

Hospitalized infants have the highest rates of invasive Staphylococcus aureus disease of any population and infection control strategies such as decolonization have been insufficient. For decades, researchers began studying the microbiome in search of new prevention strategies. The resident microbiota was found to be closely associated with susceptibility and at times, resistance to S. aureus colonization. The evolution of nucleic acid based techniques has enhanced our understanding of the complex relationship between the nasal microbiota and S. aureus colonization. We review what is known about bacterial communities in the nasal cavity of infants and discuss how future microbiome studies may help identify novel interventions to protect high-risk infants from S. aureus disease.

Indexed as

MicrobiotaHost-Pathogen InteractionsHumansInfantNasal CavityRisk FactorsStaphylococcal InfectionsStaphylococcus aureus

Identifiers

PMID29120455
PMCPMC5790614

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.