Evidence map›Paper›PMID 37807908›Full record

ArticleInfection control and hospital epidemiology2024

Describing the monthly variability of hospital-onset

Kaiting Lang, T J Atchison, Priti Singh, David M Kline, James B Odei, Jennifer L Martin, Justin F Smyer, Shandra R Day, Courtney L Hebert

Abstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Antibiotic Usage and Healthcare-AssociatedAntibiotics (Basel, Switzerland) · 2025
    Article
  3. Retrospective Analysis ofJournal of clinical medicine · 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

9 authors.

Kaiting LangDivision of Epidemiology, College of Public Health, Columbus, Ohio.
T J AtchisonCollege of Medicine, The Ohio State University, Columbus, Ohio.
Priti SinghDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio.ORCID 0000-0003-1939-7135
David M KlineDepartment of Biostatistics and Data Science, Wake Forest University, School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0001-6183-3303
James B OdeiDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio.ORCID 0000-0002-4018-5535
Jennifer L MartinDepartment of Clinical Epidemiology, The Ohio State University Wexner Medical Center, Columbus, Ohio.
Justin F SmyerDepartment of Clinical Epidemiology, The Ohio State University Wexner Medical Center, Columbus, Ohio.
Shandra R DayDivision of Infectious Diseases, The Ohio State University Wexner Medical Center, Columbus, Ohio.ORCID 0000-0003-1379-8632
Courtney L HebertDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio.ORCID 0000-0003-1646-702X

Funding

GeoHAI: A novel geographic tool for Hospital Acquired Infection visualization and assessmentR01HS027200 · AHRQ · OHIO STATE UNIVERSITY · PI HEBERT, COURTNEY L. · 2019 to 2023
$2.4M
AHRQ HHS R01 HS027200
6 · The paper itself

Abstract

objectiveTo assess the relative risk of hospital-onset

designThis study used a retrospective cohort design. We collected secondary data from the institution's electronic health record (EHR).

settingThe Ohio State University Wexner Medical Center, Ohio, a large tertiary healthcare system in the Midwest. PATIENTS OR

participantsAll adult patients admitted to the inpatient setting between January 2018 and May 2021 were eligible for the study. Prisoners, children, individuals presenting with

resultsAfter controlling for patient characteristics, the observed numbers of HO-CDI cases were not significantly different than expected. However, during 3 months of the pandemic period, the observed numbers of cases were significantly different from what would be expected based on patient characteristics. Of these 3 months, 2 months had more cases than expected and 1 month had fewer.

conclusionsVariations in HO-CDI incidence seemed to trend with COVID-19 incidence but were not fully explained by our case mix. Other factors contributing to the variability in HO-CDI incidence beyond listed patient characteristics need to be explored.

Indexed as

Clostridioides difficileClostridium InfectionsCOVID-19Cross InfectionAdultChildElectronic Health RecordsHospitalsHumansRetrospective Studies

Identifiers

PMID37807908
PMCPMC10933504

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.