Evidence map›Paper›PMID 29891542›Full record

ArticleInfection and immunity2018

Urine Cytokine and Chemokine Levels Predict Urinary Tract Infection Severity Independent of Uropathogen, Urine Bacterial Burden, Host Genetics, and Host Age.

Chelsie E Armbruster, Sara N Smith, Lona Mody, Harry L T Mobley

Open access · bronzeAbstract read
In one paragraph

Article in Infection and immunity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

26 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
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  11. Function and contribution of two putativeInfection and immunity · 2024
    Article
  12. Article
  13. Article
  14. Immune defenses in the urinary tract.Trends in immunology · 2023
    Review
  15. Article
  16. Review
  17. Review
  18. Article
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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

4 authors at 1 institution in 1 country.

Chelsie E ArmbrusterDepartment of Microbiology and Immunology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, New York, USA chelsiea@buffalo.edu.ORCID 0000-0002-2165-2759
Sara N SmithDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Lona ModyDivision of Geriatric and Palliative Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Harry L T MobleyDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
University of Michigan · US

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
Reciprocal Control of Motility and Adherence in UTIR01AI059722 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PEARSON, MELANIE M. · 2005 to 2024
$7.4M
Vaccine to prevent E. coli urinary tract infectionR01AI116791 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MOBLEY, HARRY L. · 2016 to 2020
$2.0M
Pathway from Functional Disability to Antimicrobial Resistance in Nursing HomesR01AG041780 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MODY, LONA · 2013 to 2017
$1.8M
Targeted Infection Prevention (TIP) Program in Nursing HomesR01AG032298 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MODY, LONA · 2009 to 2013
$1.7M
Preventing Infections and Antimicrobial Resistance in the Aging Population: Translational Research and Training ProgramK24AG050685 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody · 2015 to 2026
$1.4M
Pathogenesis of Polymicrobial Catheter-Associated Urinary Tract InfectionR00DK105205 · NIDDK · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ARMBRUSTER, CHELSIE ELIZABETH · 2018 to 2020
$727k
Pathogenesis of polymicrobial catheter-associated urinary tract infectionK99DK105205 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ARMBRUSTER, CHELSIE ELIZABETH · 2015 to 2016
$182k
NIAID NIH HHS R01 AI059722NIAID NIH HHS R01 AI116791NIA NIH HHS K24 AG050685NIA NIH HHS P30 AG024824NIA NIH HHS R01 AG032298NIA NIH HHS R01 AG041780NIDDK NIH HHS K99 DK105205NIDDK NIH HHS R00 DK105205
6 · The paper itself

Abstract

Urinary tract infections (UTIs) are among the most common infections worldwide. Diagnosing UTIs in older adults poses a significant challenge as asymptomatic colonization is common. Identification of a noninvasive profile that predicts likelihood of progressing from urine colonization to severe disease would provide a significant advantage in clinical practice. We monitored colonization susceptibility, disease severity, and immune response to two uropathogens in two mouse strains across three age groups to identify predictors of infection outcome.

Indexed as

AnimalsBacteremiaBiomarkersChemokinesColony Count, MicrobialCytokinesDisease Models, AnimalEscherichia coliEscherichia coli InfectionsKidneyMiceMice, Inbred C57BLMice, Inbred CBAPredictive Value of TestsProteus InfectionsProteus mirabilisBiomarkersChemokinesCytokinesagingbacteremiaCAUTIchemokinecytokineEscherichia coliProteus mirabilispyelonephritisurinary tract infectionUTI

Identifiers

PMID29891542
PMCPMC6105902
OpenAlexW2807880937

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.