Evidence map›Paper›PMID 35709204›Full record

ArticlePloS one2022

Clinical evaluation of the Diagnostic Analyzer for Selective Hybridization (DASH): A point-of-care PCR test for rapid detection of SARS-CoV-2 infection.

Chad J Achenbach, Matthew Caputo, Claudia Hawkins, Lauren C Balmert, Chao Qi, Joseph Odorisio, Etienne Dembele, Alema Jackson, Hiba Abbas, Jennifer K Frediani and 7 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. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. High-sensitivity detection ofJournal of clinical microbiology · 2025
    Article
  4. High-sensitivity detection ofmedRxiv : the preprint server for health sciences · 2024
    Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 3 institutions in 1 country.

Chad J AchenbachHavey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Evanston, IL, United States of America.ORCID 0000-0003-4847-7249
Matthew CaputoHavey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Evanston, IL, United States of America.
Claudia HawkinsHavey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Evanston, IL, United States of America.
Lauren C BalmertDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, IL, United States of America.
Chao QiDepartment of Pathology, Northwestern University, Evanston, IL, United States of America.
Joseph OdorisioHavey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Evanston, IL, United States of America.
Etienne DembeleHavey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Evanston, IL, United States of America.
Alema JacksonAccess Community Health Network, Chicago, IL, United States of America.
Hiba AbbasAccess Community Health Network, Chicago, IL, United States of America.
Jennifer K FredianiAtlanta Center for Microsystems Engineered Point-of-Care Technologies, Atlanta, GA, United States of America.
Joshua M LevyAtlanta Center for Microsystems Engineered Point-of-Care Technologies, Atlanta, GA, United States of America.
Paulina A RebolledoAtlanta Center for Microsystems Engineered Point-of-Care Technologies, Atlanta, GA, United States of America.ORCID 0000-0002-9808-063X
Russell R KempkerAtlanta Center for Microsystems Engineered Point-of-Care Technologies, Atlanta, GA, United States of America.
Annette M EsperAtlanta Center for Microsystems Engineered Point-of-Care Technologies, Atlanta, GA, United States of America.
Wilbur A LamAtlanta Center for Microsystems Engineered Point-of-Care Technologies, Atlanta, GA, United States of America.
Greg S MartinAtlanta Center for Microsystems Engineered Point-of-Care Technologies, Atlanta, GA, United States of America.ORCID 0000-0002-9684-7593
Robert L MurphyHavey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Evanston, IL, United States of America.ORCID 0000-0003-3936-2052
Northwestern University · USEmory University · USAccess Community Health Network · US

Funding

Technology Training and Dissemination CoreU54EB027690 · NIBIB · EMORY UNIVERSITY · PI Wilbur A Lam, GREGORY S MARTIN · 2018 to 2026
$96.1M
Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
The Center for Innovation in Point-of-Care Technologies for HIV/AIDS atNorthwestern University (C-THAN) Supplemental RequestU54EB027049 · NIBIB · NORTHWESTERN UNIVERSITY · PI Chad J Achenbach, SALLY Maureen MCFALL · 2018 to 2026
$24.0M
NIBIB NIH HHS U54 EB027049NIBIB NIH HHS U54 EB027690
6 · The paper itself

Abstract

backgroundAn ideal test for COVID-19 would combine the sensitivity of laboratory-based PCR with the speed and ease of use of point-of-care (POC) or home-based rapid antigen testing. We evaluated clinical performance of the Diagnostic Analyzer for Selective Hybridization (DASH) SARS-CoV-2 POC rapid PCR test.

methodsWe conducted a cross-sectional study of adults with and without symptoms of COVID-19 at four clinical sites where we collected two bilateral anterior nasal swabs and information on COVID-19 symptoms, vaccination, and exposure. One swab was tested with the DASH SARS-CoV-2 POC PCR and the second in a central laboratory using Cepheid Xpert Xpress SARS-CoV-2 PCR. We assessed test concordance and calculated sensitivity, specificity, negative and positive predictive values using Xpert as the "gold standard".

resultsWe enrolled 315 and analyzed 313 participants with median age 42 years; 65% were female, 62% symptomatic, 75% had received ≥2 doses of mRNA COVID-19 vaccine, and 16% currently SARS-CoV-2 positive. There were concordant results for 307 tests indicating an overall agreement for DASH of 0.98 [95% CI 0.96, 0.99] compared to Xpert. DASH performed at 0.96 [95% CI 0.86, 1.00] sensitivity and 0.98 [95% CI 0.96, 1.00] specificity, with a positive predictive value of 0.85 [95% CI 0.73, 0.96] and negative predictive value of 0.996 [95% CI 0.99, 1.00]. The six discordant tests between DASH and Xpert all had high Ct values (>30) on the respective positive assay. DASH and Xpert Ct values were highly correlated (R = 0.89 [95% CI 0.81, 0.94]).

conclusionsDASH POC SARS-CoV-2 PCR was accurate, easy to use, and provided fast results (approximately 15 minutes) in real-life clinical settings with an overall performance similar to an EUA-approved laboratory-based PCR.

Indexed as

COVID-19AdultClinical Laboratory TechniquesCOVID-19 TestingCOVID-19 VaccinesCross-Sectional StudiesFemaleHumansMalePoint-of-Care SystemsPolymerase Chain ReactionSARS-CoV-2Sensitivity and SpecificityCOVID-19 Vaccines

Identifiers

PMID35709204
PMCPMC9202852
OpenAlexW4282963145

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.