Evidence map›Paper›PMID 28339914›Full record

ArticleJournal of the Pediatric Infectious Diseases Society2017

Infant Colonization With Methicillin-Resistant Staphylococcus aureus or Vancomycin-Resistant Enterococci Preceding Neonatal Intensive Care Unit Discharge.

Sarah A Clock, Haomiao Jia, Sameer Patel, Yu-Hui Ferng, Luis Alba, Susan Whittier, Patricia DeLaMora, Setareh Tabibi, Jeffrey Perlman, David Paul and 3 more

Abstract read
In one paragraph

Article in Journal of the Pediatric Infectious Diseases Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Sarah A ClockDepartments of Pediatrics.
Haomiao JiaColumbia University School of Nursing, New York.
Sameer PatelDepartments of Pediatrics.
Yu-Hui FerngColumbia University School of Nursing, New York.
Luis AlbaDepartments of Pediatrics.
Susan WhittierPathology, Columbia University Medical Center, New York.
Patricia DeLaMoraDepartment of Pediatrics, Weill Cornell Medical College, New York.
Setareh TabibiDepartments of Pediatrics.
Jeffrey PerlmanDepartment of Pediatrics, Weill Cornell Medical College, New York.
David PaulChristiana Neonatal Associates, Christiana Care Health System, Newark, Delaware.
Theoklis ZaoutisChildren's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Elaine LarsonColumbia University School of Nursing, New York.
Lisa SaimanDepartments of Pediatrics.

Funding

Improving Antimicrobial Prescribing Practices in the Neonatal Intensive Care UnitR01NR010821 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SAIMAN, LISA · 2008 to 2012
$4.6M
NINR NIH HHS R01 NR010821
6 · The paper itself

Abstract

Rates of colonization with methicillin-resistant Staphylococcus aureus (MRSA) and/or vancomycin-resistant enterococci (VRE) were determined for 1320 infants within 7 days of neonatal intensive care unit discharge. Overall, 4% and 1% of the infants were colonized with MRSA or VRE, respectively. Predictors identified in fixed-effects models were surgery during hospitalization (for MRSA colonization) and prolonged antimicrobial treatment (for VRE colonization).

Indexed as

Intensive Care Units, NeonatalAnti-Bacterial AgentsEnterococcusFemaleHospitalizationHumansInfant, NewbornMaleMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsProspective StudiesRisk FactorsStaphylococcal InfectionsStaphylococcus aureusUnited StatesVancomycin ResistanceAnti-Bacterial Agentsantimicrobial resistancecolonizationMRSArisk factorsVRE

Identifiers

PMID28339914
PMCPMC5907882

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.