Evidence map›Paper›PMID 37350244›Full record

ArticleInfection control and hospital epidemiology2023

Jon E Edman-Wallér, Michael Toepfer, Johan Karp, Kristina Rizzardi, Gunnar Jacobsson, Maria Werner

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 5 institutions in 1 country.

Jon E Edman-WallérCentre for Antibiotic Resistance Research (CARe), Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0003-3371-8900
Michael ToepferClinical Microbiology, Unilabs AB, Skövde, Sweden.ORCID 0000-0003-0856-9931
Johan KarpCentre for Antibiotic Resistance Research (CARe), Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Kristina RizzardiDepartment of Microbiology, Public Health Agency of Sweden, Solna, Sweden.
Gunnar JacobssonCentre for Antibiotic Resistance Research (CARe), Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-3296-4408
Maria WernerDepartment of Infection Prevention and Control, Södra Älvsborg Hospital, Borås, Sweden.
Skaraborg Hospital · SEPublic Health Agency of Sweden · SESahlgrenska University Hospital · SESödra Älvsborg Hospital · SEUniversity of Skövde · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe evaluated the performance of an early-warning algorithm, based on ward-specific incidence cutoffs for detecting

designDiagnostic performance of the algorithm was tested with confirmed transmission events as the comparison criterion. Transmission events were identified by a combination of high-molecular-weight typing, ward history, ribotyping, and whole-genome sequencing (WGS).

settingThe study was conducted in 2 major and 2 minor secondary-care hospitals with adjacent catchment areas in western Sweden, comprising a total population of ∼480,000 and ∼1,000 hospital beds. PATIENTS: All patients with a positive PCR test for

methodsWe conducted culturing and high-molecular-weight typing of all positive clinical samples. Ward history was determined for each patient to find possible epidemiological links between patients with the same type. Transmission events were determined by PCR ribotyping followed by WGS.

resultsWe identified 4 clusters comprising a total of 10 patients (1.5%) among 673 positive samples that were able to be cultured and then typed by high-molecular-weight typing. The early-warning algorithm performed no better than chance; patient diagnoses were made at wards other than those where the transmission events likely occurred.

conclusionsIn surveillance of potential transmission, it is insufficient to consider only the ward where diagnosis is made, especially in settings with high strain diversity. Transmission within wards occurs sporadically in our setting.

Indexed as

Clostridioides difficileClostridium InfectionsDisease OutbreaksHospitalsHumansRibotyping

Identifiers

PMID37350244
PMCPMC10755144
OpenAlexW4381715058

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.