Evidence map›Paper›PMID 24059687›Full record

ArticleEpidemiology and infection2014

Weekend diagnosis of Escherichia coli urinary tract infection does not predict poor outcome.

J F Echaiz, J P Henderson, D K Warren, J Marschall

Abstract read
In one paragraph

Article in Epidemiology and infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

J F EchaizDivision of Infectious Diseases,Washington University School of Medicine,St Louis, MO,USA.
J P HendersonDivision of Infectious Diseases,Washington University School of Medicine,St Louis, MO,USA.
D K WarrenDivision of Infectious Diseases,Washington University School of Medicine,St Louis, MO,USA.
J MarschallDivision of Infectious Diseases,Washington University School of Medicine,St Louis, MO,USA.

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 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
NCEZID CDC HHS CU54 CK 000162NCEZID CDC HHS U54 CK000162NCRR NIH HHS KL2 RR024994NCRR NIH HHS KL2RR024994NCRR NIH HHS UL1 RR024992NICHD NIH HHS 5K12HD001459-13NICHD NIH HHS K12 HD001459Wellcome Trust
6 · The paper itself

Abstract

It has been suggested that mortality is higher in patients admitted to hospitals during the weekend. The objective of this study was to compare outcomes in patients with E. coli urinary tract infection (UTI) depending on the hospital admission day. For this purpose, a secondary analysis of data from a prospective cohort of patients with E. coli UTI was conducted. Weekend diagnosis of UTI was not associated with higher mortality. However, mortality was associated with sepsis, sepsis-induced hypotension and intensive care unit (ICU) admission. Sepsis-induced hypotension and ICU admission were independent determinants of mortality. The results indicate that indicators of severity of illness are associated with higher mortality in patients with UTI rather than the time of diagnosis.

Indexed as

AdolescentAdultAgedAged, 80 and overBacteremiaEscherichia coliEscherichia coli InfectionsHumansIntensive Care UnitsMiddle AgedMissouriMultivariate AnalysisPatient AdmissionPrognosisProspective StudiesTime Factors

Identifiers

PMID24059687
PMCPMC4684268

What OpenQuestion holds

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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.