Evidence map›Paper›PMID 35126678›Full record

ArticleJournal of infection prevention2022

Detection of a COVID-19 cluster by universal SARS-CoV-2 testing in a geriatric hospital and implications for infection control management.

Fabian Leo, Angelika Tsilimi, Charlotte Hillmann

Open access · bronzeAbstract read
In one paragraph

Article in Journal of infection prevention, 2022. 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
–field-weighted citation impact, top 78% 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, 0 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

3 authors at 2 institutions in 1 country.

Fabian LeoDepartment of Respiratory Medicine, Evangelische Lungenklinik Berlin, Johannesstift Diakonie, Berlin, Germany.ORCID https://orcid.org/0000-0003-3053-1737
Angelika TsilimiGeriatric Medicine, Wichernkrankenhaus, Johannesstift Diakonie, Berlin, Germany.
Charlotte HillmannGeriatric Medicine, Wichernkrankenhaus, Johannesstift Diakonie, Berlin, Germany.
Diakonissenkrankenhaus · DEEvangelische Lungenklinik Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hospital-level COVID-19 testing strategies may require rapid changes depending on the dynamics of local epidemiology. A COVID-19 outbreak in a hospital near the authors' institution, a Geriatric Medicine centre in Berlin, Germany, prompted the implementation of comprehensive SARS-CoV-2 testing. Serial nasopharyngeal swabs were collected from all patients and staff and analysed for SARS-CoV-2 virus RNA using quantitative real-time PCR. In total, 11 of 84 patients (13.1%) and 1 of 147 employees (0.68%) tested positive. Of the 11 positive patients, 9 (81.8%) were asymptomatic at the time of testing. The data were used as the basis for adjusting local COVID-19 containment measures. Only one staff-to-staff transmission was observed, and there was no patient-to-patient, patient-to-staff or staff-to-patient transmission. Three patients infected with SARS-CoV2 died, two deaths being attributable to advanced malignant disease and one to COVID-19-associated myocarditis. In conclusion, universal SARS-CoV-2 testing revealed a cluster of predominantly asymptomatic infections, enabled appropriate local COVID-19 containment decisions and presumably contributed to the prevention of in-hospital SARS-CoV-2 transmission.

Indexed as

asymptomatic SARS-CoV-2 infectionCOVID-19 containmentinfection preventionoutbreak reporttesting strategy

Identifiers

PMID35126678
PMCPMC8811237
OpenAlexW3197191230

What OpenQuestion holds

Textmetadata
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.