Evidence map›Paper›PMID 37222567›Full record

ArticleThe journal of applied laboratory medicine2023

Successful Detection of Delta and Omicron Variants of SARS-CoV-2 by Veterinary Diagnostic Laboratory Participants in an Interlaboratory Comparison Exercise.

Kaiping Deng, Sarah M Nemser, Kirstin Frost, Laura B Goodman, Hon S Ip, Mary Lea Killian, Jodie Ulaszek, Shannon Kiener, Matthew Kmet, Steffen Uhlig and 8 more

Open access · hybridAbstract read
In one paragraph

Article in The journal of applied laboratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Comparative evaluation of assay performance for SARS-CoV-2 detection in animal oral samples, lung homogenates, and phosphate-buffered saline using the TaqPath COVID-19 Combo kit.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Article
  4. Review
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 6 institutions in 1 country.

Kaiping DengCenter for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Bedford Park, IL, United States.
Sarah M NemserCenter for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, United States.
Kirstin FrostQuoData - Quality & Statistics, Dresden, Germany.
Laura B GoodmanCollege of Veterinary Medicine, Cornell University, Ithaca, NY, United States.
Hon S IpNational Wildlife Health Center, U.S. Geological Survey, Madison, WI, United States.
Mary Lea KillianNational Veterinary Services Laboratories, Animal and Plant Health Inspection Service, U.S. Department of Agriculture, Ames, IA, United States.
Jodie UlaszekInstitute for Food Safety and Health, Illinois Institute of Technology, Bedford Park, IL, United States.
Shannon KienerCenter for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Bedford Park, IL, United States.
Matthew KmetCenter for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Bedford Park, IL, United States.
Steffen UhligQuoData - Quality & Statistics, Dresden, Germany.
Karina HettwerQuoData - Quality & Statistics, Dresden, Germany.
Bertrand ColsonQuoData - Quality & Statistics, Dresden, Germany.
Kapil NichaniQuoData - Quality & Statistics, Dresden, Germany.
Anja SchlierfQuoData - Quality & Statistics, Dresden, Germany.
Andriy TkachenkoCenter for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, United States.ORCID 0000-0002-0048-9243
Megan R MillerCenter for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, United States.
Ravinder ReddyCenter for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Bedford Park, IL, United States.
Gregory H TysonCenter for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, United States.
Center for Food Safety and Applied Nutrition · USCenter for Veterinary Medicine · USAnimal and Plant Health Inspection Service · USCornell University · USIllinois Institute of Technology · USUnited States Geological Survey · US

Funding

Assessment of Zoonotic Risk of Emerging Infections in Companion AnimalsU18FD006993 · FDA · CORNELL UNIVERSITY · PI GOODMAN, LAURA BRUNENGRABER, STANHOPE, MICHAEL J · 2020 to 2024
$984k
FDA HHS U18 FD006993Intramural FDA HHS FD999999
6 · The paper itself

Abstract

backgroundThroughout the COVID-19 pandemic, veterinary diagnostic laboratories have tested diagnostic samples for SARS-CoV-2 both in animals and over 6 million human samples. An evaluation of the performance of those laboratories is needed using blinded test samples to ensure that laboratories report reliable data to the public. This interlaboratory comparison exercise (ILC3) builds on 2 prior exercises to assess whether veterinary diagnostic laboratories can detect Delta and Omicron variants spiked in canine nasal matrix or viral transport medium.

methodsThe ILC organizer was an independent laboratory that prepared inactivated Delta variant at levels of 25 to 1000 copies per 50 µL of nasal matrix for blinded analysis. Omicron variant at 1000 copies per 50 µL of transport medium was also included. Feline infectious peritonitis virus (FIPV) RNA was used as a confounder for specificity assessment. Fourteen test samples were prepared for each participant. Participants used their routine diagnostic procedures for RNA extraction and real-time reverse transcriptase-PCR. Results were analyzed according to International Organization for Standardization (ISO) 16140-2:2016.

resultsOverall, laboratories demonstrated 93% detection for Delta and 97% for Omicron at 1000 copies per 50 µL. Specificity was 97% for blank samples and 100% for blank samples with FIPV. No differences in Cycle Threshold (Ct) values were significant for samples with the same virus levels between N1 and N2 markers, nor between the 2 variants.

conclusionsThe results indicated that all ILC3 participants were able to detect both Delta and Omicron variants. The canine nasal matrix did not significantly affect SARS-CoV-2 detection.

Indexed as

COVID-19SARS-CoV-2AnimalsCatsCOVID-19 TestingDogsHumansLaboratoriesPandemicsRNARNA

Identifiers

PMID37222567
PMCPMC11555767
OpenAlexW4377939049

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.