Evidence map›Paper›PMID 34103012›Full record

ArticleBMC microbiology2021

SaQuant: a real-time PCR assay for quantitative assessment of Staphylococcus aureus.

Colin Wood, Jason Sahl, Sara Maltinsky, Briana Coyne, Benjamin Russakoff, David Panisello Yagüe, Jolene Bowers, Talima Pearson

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Population sequencing for phylogenetic diversity and transmission analyses.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

8 authors at 2 institutions in 1 country.

Colin WoodPathogen & Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
Jason SahlPathogen & Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
Sara MaltinskyPathogen & Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
Briana CoynePathogen & Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
Benjamin RussakoffPathogen & Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
David Panisello YagüePathogen & Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
Jolene BowersTranslational Genomics Research Institute, Flagstaff, AZ, USA.
Talima PearsonPathogen & Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA. talima.pearson@nau.edu.
Northern Arizona University · USTranslational Genomics Research Institute · US

Funding

SSCIMA: Integrating Analysis of Socio-economic Sub-population Dynamics to Improve Spatial Models of Infectious DiseaseU54MD012388 · NIMHD · NORTHERN ARIZONA UNIVERSITY · PI Julie A. Baldwin · 2017 to 2026
$49.7M
Are Minority Health Disparities in MRSA/MSSA Infections Related to Carriage and Social Relationships?R15AI156771 · NIAID · NORTHERN ARIZONA UNIVERSITY · PI PEARSON, TALIMA ROSS · 2021 to 2021
$456k
NIAID NIH HHS R15 AI156771NIMHD NIH HHS U54 MD012388
6 · The paper itself

Abstract

backgroundMolecular assays are important tools for pathogen detection but need to be periodically re-evaluated with the discovery of additional genetic diversity that may cause assays to exclude target taxa or include non-target taxa. A single well-developed assay can find broad application across research, clinical, and industrial settings. Pathogen prevalence within a population is estimated using such assays and accurate results are critical for formulating effective public health policies and guiding future research. A variety of assays for the detection of Staphylococcus aureus are currently available. The utility of commercial assays for research is limited, given proprietary signatures and lack of transparent validation.

resultsIn silico testing of existing peer-reviewed assays show that most suffer from a lack of sensitivity and specificity. We found no assays that were specifically designed and validated for quantitative use. Here we present a qPCR assay, SaQuant, for the detection and quantification of S. aureus as might be collected on sampling swabs. Sensitivity and specificity of the assay was 95.6 and 99.9 %, respectively, with a limit of detection of between 3 and 5 genome equivalents and a limit of quantification of 8.27 genome equivalents. The presence of DNA from non-target species likely to be found in a swab sample, did not impact qualitative or quantitative abilities of the assay.

conclusionsThis assay has the potential to serve as a valuable tool for the accurate detection and quantification of S. aureus collected from human body sites in order to better understand the dynamics of prevalence and transmission in community settings.

Indexed as

DNA, BacterialHumansReal-Time Polymerase Chain ReactionSensitivity and SpecificityStaphylococcal InfectionsStaphylococcus aureusDNA, BacterialDetection of MRSADetection of S. aureusMicrobial detectionMicrobial quantificationViPrimePLUSXpert

Identifiers

PMID34103012
PMCPMC8188689
OpenAlexW3167732415

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.