Evidence map›Paper›PMID 34951469›Full record

ReviewJournal of the Pediatric Infectious Diseases Society2021

NGSocomial Infections: High-Resolution Views of Hospital-Acquired Infections Through Genomic Epidemiology.

Alexander L Greninger, Danielle M Zerr

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of the Pediatric Infectious Diseases Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Alexander L GreningerDepartment of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, Washington, USA.ORCID 0000-0002-7443-0527
Danielle M ZerrDepartment of Pediatrics, University of Washington Medical Center, Seattle, Washington, USA.
Seattle Children's Hospital · USUniversity of Washington Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hospital outbreak investigations are high-stakes epidemiology. Contacts between staff and patients are numerous; environmental and community exposures are plentiful; and patients are highly vulnerable. Having the best data is paramount to understanding an outbreak in order to stop ongoing transmission and prevent future outbreaks. In the past 5 years, the high-resolution view of transmission offered by analyzing pathogen whole-genome sequencing (WGS) is increasingly part of hospital outbreak investigations. Concerns over speed and actionability, assay validation, liability, cost, and payment models lead to further opportunities for work in this area. Now accelerated by funding for COVID-19, the use of genomics in hospital outbreak investigations has firmly moved from the academic literature to more quotidian operations, with associated concerns involving regulatory affairs, data integration, and clinical interpretation. This review details past uses of WGS data in hospital-acquired infection outbreaks as well as future opportunities to increase its utility and growth in hospital infection prevention.

Indexed as

COVID-19Cross InfectionDisease OutbreaksGenomicsHospitalsHumansMolecular EpidemiologySARS-CoV-2hospital acquired infectionhospital epidemiologyhospital outbreaknosocomial infectionpathogen sequencingwhole genome sequencing

Identifiers

PMID34951469
PMCPMC8755322
OpenAlexW4200137583

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.