Evidence map›Paper›PMID 19940045›Full record

ArticleJournal of clinical microbiology2010

Correlation of bacterial colonization status between mother and child: the Generation R Study.

Ankie Lebon, Henriëtte A Moll, Mehri Tavakol, Willem J van Wamel, Vincent W V Jaddoe, Albert Hofman, Henri A Verbrugh, Alex van Belkum

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2010. 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
–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

19 citing papers in PubMed.

  1. Article
  2. Towards sustainable antimicrobial therapies forSustainable microbiology · 2024
    Review
  3. An Eye onToxins · 2019
    Review
  4. Article
  5. Longitudinal Population Dynamics ofFrontiers in genetics · 2019
    Article
  6. Observational
  7. Article
  8. A prospective cohort study ofInfection and drug resistance · 2018
    Article
  9. Article
  10. Article
  11. The Generation R Study: Biobank update 2015.European journal of epidemiology · 2014
    Article
  12. Article
  13. Article
  14. Article
  15. Clinical characteristics of children with lower respiratory tract infections are dependent on the carriage of specific pathogens in the nasopharynx.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2012
    Article
  16. Article
  17. Article
  18. Article
  19. The Generation R Study: design and cohort update 2010.European journal of epidemiology · 2010
    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

8 authors.

Ankie LebonDepartment of Paediatrics, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, Netherlands.
Henriëtte A Moll
Mehri Tavakol
Willem J van Wamel
Vincent W V Jaddoe
Albert Hofman
Henri A Verbrugh
Alex van Belkum

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determinants of bacterial colonization in children have been described. In the Generation R Study, a population-based cohort study, we determined whether the colonization statuses of mothers and children are correlated. Such a correlation was observed for Staphylococcus aureus and Haemophilus influenzae. Direct transmission, genetic susceptibility and/or unidentified environmental factors may play a role here.

Indexed as

Infectious Disease Transmission, VerticalAdultBacterial Typing TechniquesCarrier StateChild, PreschoolCohort StudiesDNA FingerprintingElectrophoresis, Gel, Pulsed-FieldFemaleHaemophilus InfectionsHumansInfantMaleMolecular EpidemiologyMothersStaphylococcal Infections

Identifiers

PMID19940045
PMCPMC2832455

What OpenQuestion holds

Textmetadata
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.