Evidence map›Paper›PMID 37057848›Full record

ArticleInfection control and hospital epidemiology2023

Disparities in central line-associated bloodstream infection and catheter-associated urinary tract infection rates: An exploratory analysis.

Erin B Gettler, Ibukunoluwa C Kalu, Nwora L Okeke, Sarah S Lewis, Deverick J Anderson, Becky A Smith, Sonali D Advani

Open access · hybridAbstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. National partnerships address critical needs in infection prevention and control.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    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

7 authors at 1 institution in 1 country.

Erin B GettlerDivision of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0003-1071-9898
Ibukunoluwa C KaluDuke Center for Antimicrobial Stewardship and Infection Prevention, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0002-0839-568X
Nwora L OkekeDivision of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Sarah S LewisDivision of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Deverick J AndersonDivision of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0001-6882-5496
Becky A Smith *Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Sonali D Advani *Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0001-5162-6482
Duke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective review of 4-year surveillance data revealed a higher central line-associated bloodstream infection (CLABSI) rate in non-Hispanic Black patients and higher catheter-associated urinary tract infection (CAUTI) rates in Asian and non-Hispanic Black patients compared with White patients despite similar catheter utilization between the groups.

Indexed as

Catheter-Related InfectionsCross InfectionSepsisUrinary Tract InfectionsCathetersHumansIntensive Care Units

Identifiers

PMID37057848
PMCPMC10665875
OpenAlexW4365483046

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.