Evidence map›Paper›PMID 36409108›Full record

ArticleJournal of clinical microbiology2022

Comparison of the BioFire Joint Infection Panel to 16S Ribosomal RNA Gene-Based Targeted Metagenomic Sequencing for Testing Synovial Fluid from Patients with Knee Arthroplasty Failure.

Marisa A Azad, Matthew J Wolf, Angela P Strasburg, Matthew L Daniels, Jordan C Starkey, Alexander D Donadio, Matthew P Abdel, Kerryl E Greenwood-Quaintance, Robin Patel

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 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
11.8field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  4. Genetic applications in arthroplasty: A review.Bulletin of the Hospital for Joint Disease (2013) · 2025
    Review
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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

9 authors at 1 institution in 1 country.

Marisa A AzadDivision of Public Health, Infectious Diseases, and Occupational Medicine, Department of Medicine, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.ORCID 0000-0002-5454-3591
Matthew J WolfDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Angela P StrasburgDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Matthew L DanielsDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Jordan C StarkeyDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Alexander D DonadioDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Matthew P AbdelDepartment of Orthopedic Surgery, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Kerryl E Greenwood-QuaintanceDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Robin PatelDivision of Public Health, Infectious Diseases, and Occupational Medicine, Department of Medicine, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.ORCID 0000-0001-6344-4141
Mayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of periprosthetic joint infection (PJI) is challenging, often requiring multiple clinical specimens and diagnostic techniques, some with prolonged result turnaround times. Here, the diagnostic performance of the Investigational Use Only (IUO) BioFire Joint Infection (JI) Panel was compared to 16S rRNA gene-based targeted metagenomic sequencing (tMGS) applied to synovial fluid for PJI diagnosis. Sixty synovial fluid samples from knee arthroplasty failure archived at -80°C were tested. Infectious Diseases Society of America (IDSA) diagnostic criteria were used to classify PJI. For culture-positive PJI with pathogens targeted by the JI panel, JI panel sensitivity was 91% (21/23; 95% confidence interval [CI], 73 to 98%), and tMGS sensitivity was 96% (23/24; 95% CI, 80 to 99%) (

Indexed as

Arthritis, InfectiousArthroplasty, Replacement, HipArthroplasty, Replacement, KneeProsthesis-Related InfectionsBiomarkersGenes, rRNAHumansRNA, Ribosomal, 16SSensitivity and SpecificitySynovial FluidBiomarkersRNA, Ribosomal, 16Snext-generation sequencingPCRperiprosthetic joint infectionrapid diagnostic

Identifiers

PMID36409108
PMCPMC9769560
OpenAlexW4309515854

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.