Evidence map›Paper›PMID 32727828›Full record

ArticleJournal of clinical microbiology2020

Performance Characteristics of a High-Throughput Automated Transcription-Mediated Amplification Test for SARS-CoV-2 Detection.

Jimmykim Pham, Sarah Meyer, Catherine Nguyen, Analee Williams, Melissa Hunsicker, Ian McHardy, Inessa Gendlina, D Yitzchak Goldstein, Amy S Fox, Angela Hudson and 13 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 11% 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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  3. The Infectious Diseases Society of America Guidelines on the Diagnosis of COVID-19: Molecular Diagnostic Testing (December 2023).Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Guideline
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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

23 authors at 3 institutions in 1 country.

Jimmykim PhamHologic, Inc., San Diego California, USA.
Sarah MeyerHologic, Inc., San Diego California, USA.
Catherine NguyenHologic, Inc., San Diego California, USA.
Analee WilliamsHologic, Inc., San Diego California, USA.
Melissa HunsickerHologic, Inc., San Diego California, USA.
Ian McHardyScripps Health, Microbiology Laboratory, San Diego California, USA.
Inessa GendlinaMontefiore Medical Center, Department of Pathology, Bronx, New York, USA.
D Yitzchak GoldsteinMontefiore Medical Center, Department of Pathology, Bronx, New York, USA.
Amy S FoxMontefiore Medical Center, Department of Pathology, Bronx, New York, USA.
Angela HudsonHologic, Inc., San Diego California, USA.
Paul DarbyHologic, Inc., San Diego California, USA.
Paul HoveyHologic, Inc., San Diego California, USA.
Jose MoralesHologic, Inc., San Diego California, USA.
James MitchellHologic, Inc., San Diego California, USA.
Karen HarringtonHologic, Inc., San Diego California, USA.
Mehrdad MajlessiHologic, Inc., San Diego California, USA.
Joshua MoberlyHologic, Inc., San Diego California, USA.
Ankur ShahHologic, Inc., San Diego California, USA.
Andrew WorlockHologic, Inc., San Diego California, USA.
Marion WalcherHologic, Inc., San Diego California, USA.
Barbara EatonHologic, Inc., San Diego California, USA.
Damon GetmanHologic, Inc., San Diego California, USA damon.getman@hologic.com.ORCID 0000-0003-3530-2837
Craig ClarkHologic, Inc., San Diego California, USA.
Hologic (United States) · USMontefiore Medical Center · USScripps Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic caused by the new SARS-CoV-2 coronavirus has imposed severe challenges on laboratories in their effort to achieve sufficient diagnostic testing capability for identifying infected individuals. In this study, we report the analytical and clinical performance characteristics of a new, high-throughput, fully automated nucleic acid amplification test system for the detection of SARS-CoV-2. The assay utilizes target capture, transcription-mediated amplification, and acridinium ester-labeled probe chemistry on the automated Panther system to directly amplify and detect two separate target sequences in the open reading frame 1ab (ORF1ab) region of the SARS-CoV-2 RNA genome. The probit 95% limit of detection of the assay was determined to be 0.004 50% tissue culture infective dose (TCID

Indexed as

Molecular Diagnostic TechniquesNucleic Acid Amplification TechniquesAutomation, LaboratoryBetacoronavirusClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19 TestingHumansNasopharynxReproducibility of ResultsRNA, ViralSARS-CoV-2Sensitivity and SpecificityViral ProteinsRNA, ViralViral ProteinsAptimaautomationhigh throughputSARS-CoV-2TMA

Identifiers

PMID32727828
PMCPMC7512162
OpenAlexW3045918416

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.