Evidence map›Paper›PMID 39168374›Full record

ArticleJournal of global antimicrobial resistance2024

Performance evaluation of the Streck ARM-D

Brian B Yoo, Norihisa Yamamoto, Justina Ilutsik Quintero, Maria Jose Machado, Sarah Sabour, Sara Blosser, Maria Karlsson, James Kamile Rasheed, Allison C Brown

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of global antimicrobial resistance, 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

9 authors.

Brian B YooDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA. Electronic address: Brian.Yoo@cdc.hhs.gov.
Norihisa YamamotoDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA; Department of Infection Control and Prevention, Osaka University Graduate School of Medicine, Osaka, Japan.
Justina Ilutsik QuinteroDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA; Chenega Government Mission Solutions, LLC, Chesapeake, VA, USA.
Maria Jose MachadoDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Sarah SabourDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Sara BlosserDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA; Chenega Government Mission Solutions, LLC, Chesapeake, VA, USA.
Maria KarlssonDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA; Chenega Government Mission Solutions, LLC, Chesapeake, VA, USA.
James Kamile RasheedDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Allison C BrownDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectivesDespite clinical relevance, commercially available molecular tools for accurate β-lactamase detection are limited. In this study, we evaluated the performance of the ARM-D

methodsA diverse collection of 113 Gram-negative isolates, including 42 with multiple β-lactamases genes, was selected from the U.S. Centers for Disease Control and Prevention (CDC) & Food and Drug Administration (FDA) Antimicrobial Resistance Isolate Bank, to represent the most frequently detected bacterial species carrying plasmid-mediated β-lactam resistance genes.

resultsResults were compared with whole genome sequence data. Of 164 β-lactamase gene targets with 49 unique variants, all were detected correctly without any cross-reactivity. The sensitivity and specificity were 100% (164/164) and 99.9% (852/853), respectively.

conclusionThe ARM-D

Indexed as

beta-LactamasesMultiplex Polymerase Chain ReactionBacterial Proteinsbeta-Lactam ResistanceGram-Negative BacteriaGram-Negative Bacterial InfectionsHumansMicrobial Sensitivity TestsPlasmidsReagent Kits, DiagnosticSensitivity and SpecificityUnited StatesWhole Genome SequencingBacterial Proteinsbeta-LactamasescarbapenemaseReagent Kits, DiagnosticAmpCCarbapenemaseExtended-spectrum β-lactamase (esbl)Molecular detection

Identifiers

PMID39168374
PMCPMC11663688

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.