Evidence map›Paper›PMID 27434831›Full record

ArticleThe Pediatric infectious disease journal2016

Predictors Of Non-Escherichia Coli Urinary Tract Infection.

Nader Shaikh, Ellen R Wald, Ron Keren, Nathan Gotman, Anastasia Ivanova, Myra A Carpenter, Marva Moxey-Mims, Alejandro Hoberman

Open access · greenAbstract read
In one paragraph

Article in The Pediatric infectious disease journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. International journal of pediatrics & adolescent medicine · 2022
    Article
  4. Review
  5. 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 at 5 institutions in 1 country.

Nader ShaikhFrom the *Division of General Academic Pediatrics, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania; †Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; ‡Division of General Pediatrics, Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; §Department of Biostatistics, University of North Carolina at Chapel Hill, Collaborative Studies Coordinating Center, Chapel Hill, North Carolina; and ¶National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland.
Ellen R Wald
Ron Keren
Nathan Gotman
Anastasia Ivanova
Myra A Carpenter
Marva Moxey-Mims
Alejandro Hoberman
University of Pittsburgh · USChildren's Hospital of Philadelphia · USChildren's Hospital of Pittsburgh · USUniversity of North Carolina at Chapel Hill · USUniversity of Wisconsin–Madison · US

Funding

RIVUR - Randomized Intervention for Children with Vesicoureteral RefluxU01DK074053 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOBERMAN, ALEJANDRO · 2005 to 2012
$4.3M
NIDDK NIH HHS U01 DK074053
6 · The paper itself

Abstract

We aimed to determine which children are prone to non-Escherichia coli urinary tract infection (UTIs). We included 769 children with UTI. We found that circumcised males, Hispanic children, children without fever and children with grades 3 and 4 vesicoureteral reflux were more likely to have a UTI caused by organisms other than E. coli. This information may guide clinicians in their choice of antimicrobial therapy.

Indexed as

Urinary Tract InfectionsVesico-Ureteral RefluxChildChild, PreschoolCohort StudiesFemaleHumansInfantLogistic ModelsMale

Identifiers

PMID27434831
PMCPMC5071137
OpenAlexW2491679686

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.