Evidence map›Paper›PMID 34788112›Full record

ArticleJournal of clinical microbiology2022

Evaluation of the MRSA/SA ELITe MGB Assay for the Detection of

R Labetoulle, J Rigaill, M Lleres-Vadeboin, F Grattard, B Pozzetto, C Cazorla, E Botelho-Nevers, B Boyer, C Dupieux-Chabert, F Laurent and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

12 authors at 2 institutions in 1 country.

R Labetoulle *Laboratory of Infectious Agents and Hygiene, University Hospital of St-Etienne, St-Etienne, France.
J Rigaill *Laboratory of Infectious Agents and Hygiene, University Hospital of St-Etienne, St-Etienne, France.
M Lleres-VadeboinLaboratory of Infectious Agents and Hygiene, University Hospital of St-Etienne, St-Etienne, France.
F GrattardLaboratory of Infectious Agents and Hygiene, University Hospital of St-Etienne, St-Etienne, France.
B PozzettoLaboratory of Infectious Agents and Hygiene, University Hospital of St-Etienne, St-Etienne, France.
C CazorlaInterregional Reference Centre for Complex Bone and Joint Infection (CRIOAc Lyon, Associated Center), University Hospital of St-Etienne, St-Etienne, France.
E Botelho-NeversCIRI, Centre International de Recherche en Infectiologie, GIMAP team, University of Lyon, University of St-Etienne, INSERM, U1111, CNRS UMR5308, ENS de Lyon, UCBL, St-Etienne, France.
B BoyerInterregional Reference Centre for Complex Bone and Joint Infection (CRIOAc Lyon, Associated Center), University Hospital of St-Etienne, St-Etienne, France.
C Dupieux-ChabertCIRI, Centre International de Recherche en Infectiologie, Staphylococcal Pathogenesis Team, University of Lyon, INSERM U1111, CNRS UMR5308, ENS de Lyon, UCBL, Lyon, France.
F LaurentCIRI, Centre International de Recherche en Infectiologie, Staphylococcal Pathogenesis Team, University of Lyon, INSERM U1111, CNRS UMR5308, ENS de Lyon, UCBL, Lyon, France.
P O Verhoeven *Laboratory of Infectious Agents and Hygiene, University Hospital of St-Etienne, St-Etienne, France.ORCID 0000-0003-4352-1263
A Carricajo *Laboratory of Infectious Agents and Hygiene, University Hospital of St-Etienne, St-Etienne, France.
Université Claude Bernard Lyon 1 · FRCentre Hospitalier Universitaire de Saint-Étienne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone and joint infections represent a potentially devastating complication of prosthetic orthopedic joint replacement, thus requiring both rapid and appropriate antibiotic treatment. Staphylococcus aureus is one of the most common pathogens involved in this pathology. Being able to assert its presence is the first step of efficient patient management. This monocenter study evaluated the MRSA/SA ELITe MGB assay for the molecular detection of S. aureus and methicillin-resistant S. aureus (MRSA) in bone and joint biopsy specimens and synovial fluids. This test, together with conventional techniques, including standard cultures and the 16S rRNA amplification assay, was performed on 208 successive perioperative samples collected prospectively for 1 year obtained from 129 patients. Using conventional techniques, we detected a microbial pathogen in 76 samples from 58 patients, 40 of which were identified as S. aureus. The limit of detection (LOD) of the MRSA/SA ELITe MGB assay was experimentally determined for bone and joint biopsy specimens and synovial fluids using negative samples spiked with S. aureus ATCC 43300. The sensitivities of S. aureus detection with the MRSA/SA ELITe MGB assay were 82.5% (33/40 samples) and 97.5% (39/40 samples) using the manufacturer's LOD and an experimentally determined LOD, respectively. Interestingly, using the osteoarticular specific LOD, 15 additional samples were determined to be positive for S. aureus DNA with the MRSA/SA ELITe MGB assay; in all cases, these samples were obtained from patients considered to be infected with S. aureus according to their clinical and microbiological records. The results were available within 24 h, which could help to expedite therapeutic decisions.

Indexed as

Methicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsBacterial ProteinsHumansRNA, Ribosomal, 16SStaphylococcus aureusBacterial ProteinsRNA, Ribosomal, 16Sbone and joint infectionshumansMRSAMRSA/SA ELITe MGB assayreal-time PCRStaphylococcus aureus

Identifiers

PMID34788112
PMCPMC8769721
OpenAlexW3212174516

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.