Evidence map›Paper›PMID 38949710›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Application of Pathogen Genomics to Outbreak Investigation.

Benjamin J Parcell, Kerry A Pettigrew, Katarina Oravcova

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. 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
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

3 authors.

Benjamin J ParcellClinical Senior Lecturer and Honorary Consultant, Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK. bjparcell@dundee.ac.uk.
Kerry A PettigrewLecturer in Biomedical Science, School of Health and Life Sciences, Teesside University, Middlesbrough, UK.
Katarina OravcovaLecturer in Bacteriology, School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK.

Funding

Chief Scientist Office SIRN10Wellcome Trust 097831/Z/11/Z
6 · The paper itself

Abstract

Outbreaks are a risk to public health particularly when pathogenic, hypervirulent, and/or multidrug-resistant organisms (MDROs) are involved. In a hospital setting, vulnerable populations such as the immunosuppressed, intensive care patients, and neonates are most at risk. Rapid and accurate outbreak detection is essential to implement effective interventions in clinical areas to control and stop further transmission. Advances in the field of whole genome sequencing (WGS) have resulted in lowered costs, increased capacity, and improved reproducibility of results. WGS now has the potential to revolutionize the investigation and management of outbreaks replacing conventional genotyping and other discrimination systems. Here, we outline specific procedures and protocols to implement WGS into investigation of outbreaks in healthcare settings.

Indexed as

Disease OutbreaksGenomicsWhole Genome SequencingGenome, BacterialHumansBacterial pathogensOutbreakShort-read sequencingTypingWhole-genome sequencing

Identifiers

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.