Evidence map›Paper›PMID 28404677›Full record

ArticleJournal of clinical microbiology2017

Comparison of Whole-Genome Sequencing Methods for Analysis of Three Methicillin-Resistant Staphylococcus aureus Outbreaks.

Scott A Cunningham, Nicholas Chia, Patricio R Jeraldo, Daniel J Quest, Julie A Johnson, Dave J Boxrud, Angela J Taylor, Jun Chen, Gregory D Jenkins, Travis M Drucker and 2 more

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
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  4. CharacterizingmSystems · 2025
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  14. Review
  15. Article
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  19. Article
  20. Hospital transmission of borderline oxacillin-resistantJournal of medical microbiology · 2021
    Article
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

12 authors.

Scott A CunninghamDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.
Nicholas ChiaDepartment of Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Patricio R JeraldoDepartment of Surgery, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-0282-4217
Daniel J QuestAdvanced Analytics and Information Support, Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
Julie A JohnsonBioinformatics Systems, Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
Dave J BoxrudMinnesota Department of Health, Saint Paul, Minnesota, USA.
Angela J TaylorMinnesota Department of Health, Saint Paul, Minnesota, USA.
Jun ChenDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Gregory D JenkinsDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Travis M DruckerBioinformatics Systems, Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
Heidi NelsonDepartment of Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Robin PatelDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA patel.robin@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing (WGS) can provide excellent resolution in global and local epidemiological investigations of

Indexed as

Disease OutbreaksCluster AnalysisComputational BiologyHumansMethicillin-Resistant Staphylococcus aureusMolecular EpidemiologyMolecular TypingStaphylococcal InfectionsWhole Genome Sequencingmolecular typingMRSAPFGEStaphylococcus aureuswhole-genome sequencing

Identifiers

PMID28404677
PMCPMC5442552

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.