Evidence map›Paper›PMID 35068404›Full record

ArticleInfection control and hospital epidemiology2022

Association between prevalence of laboratory-identified

Kerui Xu, Hsiu Wu, Qunna Li, Jonathan R Edwards, Erin N O'Leary, Denise Leaptrot, Andrea L Benin

Open access · greenAbstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2022. 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
0.1field-weighted citation impact, top 61% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Treated, hospital-onsetInfection control and hospital epidemiology · 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.

Kerui XuDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0002-4230-4980
Hsiu WuDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0002-4195-7162
Qunna LiDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Jonathan R EdwardsDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Erin N O'LearyDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Denise LeaptrotDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0003-2461-208X
Andrea L BeninDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveTo evaluate hospital-level variation in using first-line antibiotics for

methodsUsing data on hospital-level LabID CDI events and antimicrobial use (AU) for CDI (oral/rectal vancomycin or fidaxomicin) submitted to the National Healthcare Safety Network in 2019, we assessed the association between hospital-level CDI prevalence (per 100 patient admissions) and rate of CDI AU (days of therapy per 1,000 days present) to generate a predicted value of AU based on CDI prevalence and CDI test type using negative binomial regression. The ratio of the observed to predicted AU was then used to identify hospitals with extreme discordance between CDI prevalence and CDI AU, defined as hospitals with a ratio outside of the intervigintile range.

resultsAmong 963 acute-care hospitals, rate of CDI prevalence demonstrated a positive dose-response relationship with rate of CDI AU. Compared with hospitals without extreme discordance (n = 902), hospitals with lower-than-expected CDI AU (n = 31) had, on average, fewer beds (median, 106 vs 208), shorter length of stay (median, 3.8 vs 4.2 days), and higher proportion of undergraduate or nonteaching medical school affiliation (48% vs 39%). Hospitals with higher-than-expected CDI AU (n = 30) were similar overall to hospitals without extreme discordance.

conclusionsThe prevalence rate of LabID CDI had a significant dose-response association with first-line antibiotics for treating CDI. We identified hospitals with extreme discordance between CDI prevalence and CDI AU, highlighting potential opportunities for data validation and improvements in diagnostic and treatment practices for CDI.

Indexed as

Clostridioides difficileClostridium InfectionsCross InfectionAnti-Bacterial AgentsHospitalsHumansPrevalenceVancomycinAnti-Bacterial AgentsVancomycinantibioticsantimicrobial useClostridioidesdifficileNational Healthcare Safety Network

Identifiers

PMID35068404
PMCPMC10877317
OpenAlexW4207043554

What OpenQuestion holds

Textmetadata
LicenceTDM
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.