Evidence map›Paper›PMID 33240709›Full record

ArticleCureus2020

Effect of a Female External Urinary Catheter on Incidence of Catheter-Associated Urinary Tract Infection.

Jillian Zavodnick, Caitlin Harley, Kelly Zabriskie, Yasmin Brahmbhatt

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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 at 1 institution in 1 country.

Jillian ZavodnickDepartment of Internal Medicine, Thomas Jefferson University, Philadelphia, USA.
Caitlin HarleyDepartment of Nursing, Thomas Jefferson University, Philadelphia, USA.
Kelly ZabriskieDepartment of Infection Control, Thomas Jefferson University, Philadelphia, USA.
Yasmin BrahmbhattDepartment of Internal Medicine, Thomas Jefferson University, Philadelphia, USA.
Thomas Jefferson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Catheter-associated urinary tract infections (CAUTIs) can be fatal, and are a source of avoidable expense for patients and hospitals. Prolonged catheterization increases infection risk, and avoiding catheters is crucial for infection prevention. Male external urinary catheters are recommended as a tool to prevent the need for indwelling catheterization. Female external urinary catheters (FEUCs) have intermittently been marketed without wide adoption; one has recently become available but published data is limited. Objective This retrospective observational study was conducted to investigate the effect of FEUCs on indwelling catheter use and female CAUTIs. Methods FEUCs were introduced to intensive care units. CAUTI rates and indwelling catheter days were obtained before and after the introduction of the devices. Results  CAUTI rates decreased from 3.14 per 1000 catheter days to 1.42 per 1000 catheter days (p=0.013). Female indwelling catheter days decreased, while overall intensive care patient days increased. Conclusions Introduction of a FEUC was associated with a statistically significant decrease in CAUTI rate among female intensive care patients. The FEUC may prevent the need for indwelling catheters in some situations.

Indexed as

cauticauti preventionexternal urinary catheterfemale external urinary catheterhospital acquired infectioninfection controlnosocomial infection

Identifiers

PMID33240709
PMCPMC7682542
OpenAlexW3094018249

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.