Evidence map›Paper›PMID 36342921›Full record

ArticlePloS one2022

Validation of SARS-CoV-2 pooled testing for surveillance using the Panther Fusion® system: Impact of pool size, automation, and assay chemistry.

Rudolph Park, Prabha Chandrasekaran, Heather Hernandez, Ines Lakhal-Naouar, Kristina K Peachman, Holly R Hack, Dante Coleman, Jason Ouellette, Janice M Darden, Oussama M'hamdi and 8 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
0.1field-weighted citation impact, top 55% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

18 authors at 3 institutions in 1 country.

Rudolph ParkDiagnostics and Countermeasures Branch (DCB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.ORCID 0000-0001-5782-9950
Prabha ChandrasekaranDiagnostics and Countermeasures Branch (DCB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Heather HernandezDiagnostics and Countermeasures Branch (DCB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Ines Lakhal-NaouarDiagnostics and Countermeasures Branch (DCB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Kristina K PeachmanDiagnostics and Countermeasures Branch (DCB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Holly R HackDiagnostics and Countermeasures Branch (DCB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Dante ColemanDiagnostics and Countermeasures Branch (DCB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Jason OuelletteDiagnostics and Countermeasures Branch (DCB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Janice M DardenDiagnostics and Countermeasures Branch (DCB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Oussama M'hamdiDiagnostics and Countermeasures Branch (DCB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Victor A SugihartoHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States of America.
Hua-Wei ChenHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States of America.
Megan A SchillingNaval Infectious Diseases Diagnostic Laboratory, Naval Medical Research Center, Silver Spring, MD, United States of America.
Mark P SimonsNaval Infectious Diseases Diagnostic Laboratory, Naval Medical Research Center, Silver Spring, MD, United States of America.
Natalie D CollinsViral Disease Branch (VDB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Yuliya S JohnsonOperationally Relevant Infections Department, Naval Medical Research Center, Silver Spring, MD, United States of America.
Linda L JagodzinskiDiagnostics and Countermeasures Branch (DCB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Sheila A PeelDiagnostics and Countermeasures Branch (DCB), Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Henry M. Jackson Foundation · USWalter Reed Army Institute of Research · USNaval Medical Research Command · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combining diagnostic specimens into pools has been considered as a strategy to augment throughput, decrease turnaround time, and leverage resources. This study utilized a multi-parametric approach to assess optimum pool size, impact of automation, and effect of nucleic acid amplification chemistries on the detection of SARS-CoV-2 RNA in pooled samples for surveillance testing on the Hologic Panther Fusion® System. Dorfman pooled testing was conducted with previously tested SARS-CoV-2 nasopharyngeal samples using Hologic's Aptima® and Panther Fusion® SARS-CoV-2 Emergency Use Authorization assays. A manual workflow was used to generate pool sizes of 5:1 (five samples: one positive, four negative) and 10:1. An automated workflow was used to generate pool sizes of 3:1, 4:1, 5:1, 8:1 and 10:1. The impact of pool size, pooling method, and assay chemistry on sensitivity, specificity, and lower limit of detection (LLOD) was evaluated. Both the Hologic Aptima® and Panther Fusion® SARS-CoV-2 assays demonstrated >85% positive percent agreement between neat testing and pool sizes ≤5:1, satisfying FDA recommendation. Discordant results between neat and pooled testing were more frequent for positive samples with CT>35. Fusion® CT (cycle threshold) values for pooled samples increased as expected for pool sizes of 5:1 (CT increase of 1.92-2.41) and 10:1 (CT increase of 3.03-3.29). The Fusion® assay demonstrated lower LLOD than the Aptima® assay for pooled testing (956 vs 1503 cp/mL, pool size of 5:1). Lowering the cut-off threshold of the Aptima® assay from 560 kRLU (manufacturer's setting) to 350 kRLU improved the assay sensitivity to that of the Fusion® assay for pooled testing. Both Hologic's SARS-CoV-2 assays met the FDA recommended guidelines for percent positive agreement (>85%) for pool sizes ≤5:1. Automated pooling increased test throughput and enabled automated sample tracking while requiring less labor. The Fusion® SARS-CoV-2 assay, which demonstrated a lower LLOD, may be more appropriate for surveillance testing.

Indexed as

COVID-19SARS-CoV-2AutomationHumansMolecular Diagnostic TechniquesRNA, ViralSensitivity and SpecificityRNA, Viral

Identifiers

PMID36342921
PMCPMC9639840
OpenAlexW4308411636

What OpenQuestion holds

Textmetadata
LicenceCC0
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.