Evidence map›Paper›PMID 26088770›Full record

ArticleAmerican journal of infection control2015

Low correlation between self-report and medical record documentation of urinary tract infection symptoms.

Jose F Echaiz, Candice Cass, Jeffrey P Henderson, Hilary M Babcock, Jonas Marschall

Open access · greenAbstract read
In one paragraph

Article in American journal of infection control, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. A Systematic Review of Health-Related Quality-of-Life Measurement in Patients With Complicated Urinary Tract Infections.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Pooled it
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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

5 authors at 2 institutions in 2 countries.

Jose F EchaizDivision of Infectious Diseases, Washington University School of Medicine, St Louis, MO.
Candice CassDivision of Infectious Diseases, Washington University School of Medicine, St Louis, MO.
Jeffrey P HendersonDivision of Infectious Diseases, Washington University School of Medicine, St Louis, MO.
Hilary M BabcockDivision of Infectious Diseases, Washington University School of Medicine, St Louis, MO.
Jonas MarschallDivision of Infectious Diseases, Washington University School of Medicine, St Louis, MO; Department of Infectious Diseases, Bern University Hospital and University of Bern, Bern, Switzerland. Electronic address: jmarscha@dom.wustl.edu.
Washington University in St. Louis · USUniversity Hospital of Bern · CH

Funding

Washington University Institute of Clinical and Translational Sciences (UL1)UL1RR024992 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$45.4M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University Institute of Clinical and Translational SciencesKL2TR000450 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$8.8M
Washington University Institute of Clinical and Translational Sciences (KL2)KL2RR024994 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$8.6M
INTERDISCIPLINARY RESEARCH CAREERS IN WOMEN'S HEALTHK12HD001459 · NICHD · WASHINGTON UNIVERSITY · PI SEMENKOVICH, CLAY F. · 2000 to 2014
$6.9M
EXPRESSION AND IRON-INDEPENDENT FUNCTIONS OF SIDEROPHORES IN URINARY TRACT INFECTR01DK099534 · NIDDK · WASHINGTON UNIVERSITY · PI HENDERSON, JEFFREY P · 2014 to 2018
$1.8M
NCATS NIH HHS KL2 TR000450NCATS NIH HHS UL1 TR000448NCEZID CDC HHS U54 CK000162NCRR NIH HHS KL2 RR024994NCRR NIH HHS UL1 RR024992NICHD NIH HHS K12 HD001459NIDDK NIH HHS R01 DK099534Wellcome Trust
6 · The paper itself

Abstract

backgroundCorrelations between symptom documentation in medical records and patient self-report (SR) vary depending on the condition studied. Patient symptoms are particularly important in urinary tract infection (UTI) diagnosis, and this correlation for UTI symptoms is currently unknown.

methodsThis is a cross-sectional survey study in hospitalized patients with Escherichia coli bacteriuria. Patients were interviewed within 24 hours of diagnosis for the SR of UTI symptoms. We reviewed medical records for UTI symptoms documented by admitting or treating inpatient physicians (IPs), nurses (RNs), and emergency physicians (EPs). The level of agreement between groups was assessed using Cohen κ coefficient.

resultsOut of 43 patients, 34 (79%) self-reported at least 1 of 6 primary symptoms. The most common self-reported symptoms were urinary frequency (53.5%); retention (41.9%); flank pain, suprapubic pain, and fatigue (37.2% each); and dysuria (30.2%). Correlation between SR and medical record documentation was slight to fair (κ, 0.06-0.4 between SR and IPs and 0.09-0.5 between SR and EDs). Positive agreement was highest for dysuria and frequency.

conclusionCorrelation between self-reported UTI symptoms and health care providers' documentation was low to fair. Because medical records are a vital source of information for clinicians and researchers and symptom assessment and documentation are vital in distinguishing UTI from asymptomatic bacteriuria, efforts must be made to improve documentation.

Indexed as

AdultAgedAged, 80 and overBacteriuriaCross-Sectional StudiesDocumentationEscherichia coliFemaleHealth PersonnelHospitalizationHumansMaleMedical RecordsMiddle AgedMissouriProspective StudiesCorrelationMedical recordSelf-reportSymptomUrinary tract infection

Identifiers

PMID26088770
PMCPMC4861684
OpenAlexW1778235618

What OpenQuestion holds

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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.