Evidence map›Paper›PMID 36702307›Full record

ArticleInfectious diseases now2023

Towards real-time monitoring of COVID-19 nosocomial clusters using SARS-CoV-2 genomes in a university hospital of the French Alps.

Meghann Gallouche, Caroline Landelle, Sylvie Larrat, Aurélie Truffot, Jean-Luc Bosson, Alban Caporossi

Abstract read
In one paragraph

Article in Infectious diseases now, 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
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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.

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.

Meghann GalloucheUniv. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, CHU Grenoble Alpes, TIMC, 38000 Grenoble, France; Infection Prevention and Control Unit, Grenoble Alpes University Hospital, 38000 Grenoble, France.
Caroline LandelleUniv. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, CHU Grenoble Alpes, TIMC, 38000 Grenoble, France; Infection Prevention and Control Unit, Grenoble Alpes University Hospital, 38000 Grenoble, France.
Sylvie LarratVirology Unit, Grenoble Alpes University Hospital, 38000 Grenoble, France.
Aurélie TruffotVirology Unit, Grenoble Alpes University Hospital, 38000 Grenoble, France; Grenoble Alpes University, CNRS, CEA, IBS, 38000 Grenoble, France.
Jean-Luc BossonUniv. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, CHU Grenoble Alpes, TIMC, 38000 Grenoble, France; Methodology & Medical Informatics Unit, Public Health, Grenoble Alpes University Hospital, 38000 Grenoble, France.
Alban CaporossiUniv. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, CHU Grenoble Alpes, TIMC, 38000 Grenoble, France; Methodology & Medical Informatics Unit, Public Health, Grenoble Alpes University Hospital, 38000 Grenoble, France. Electronic address: acaporossi@chu-grenoble.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesExperience of Nextstrain [1,2] and its approach adapted to the local context encouraged us to carry out real-time monitoring of COVID-19 nosocomial clusters in our establishment, the Grenoble Alpes University Hospital. PATIENTS AND METHODS,

resultsThrough identification from electronic health records of nosocomial pathways and clusters and calculation of genetic distances from sequenced samples of COVID-19 patients, we were able to identify potential nosocomial clusters in very close to real time with a significant time saving compared to classical epidemiological surveillance, and to better understand and characterize nosocomial clusters.

conclusionThrough early detection and characterization of clusters, we may prevent infection of our patients by further implementing the appropriate measures.

Indexed as

COVID-19Cross InfectionHospitals, UniversityHumansSARS-CoV-2ClustersCOVID-19MonitoringNosocomialPhylogenetics

Identifiers

PMID36702307
PMCPMC9869615

What OpenQuestion holds

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Registered trials

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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.