Evidence map›Paper›PMID 35187313›Full record

ArticleACS omega2022

DirectDetect SARS-CoV-2 Direct Real-Time RT-PCR Study Using Patient Samples.

Dulguunnaran Naranbat, Lindsay Schneider, Rami Kantor, Curt G Beckwith, Lauri Bazerman, Fizza Gillani, Sujata Sahu, Kim Rapoza, Soya Sam, Vlad Novitsky and 5 more

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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

15 authors at 3 institutions in 1 country.

Dulguunnaran NaranbatCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, Rhode Island 02912, United States.
Lindsay SchneiderCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, Rhode Island 02912, United States.
Rami KantorDivision of Infectious Diseases, Brown University Alpert Medical School, Providence, Rhode Island 02912, United States.
Curt G BeckwithDivision of Infectious Diseases, Brown University Alpert Medical School, Providence, Rhode Island 02912, United States.
Lauri BazermanThe Miriam Hospital, Providence, Rhode Island 02906, United States.
Fizza GillaniDivision of Infectious Diseases, Brown University Alpert Medical School, Providence, Rhode Island 02912, United States.
Sujata SahuThe Miriam Hospital, Providence, Rhode Island 02906, United States.
Kim RapozaThe Miriam Hospital, Providence, Rhode Island 02906, United States.
Soya SamDivision of Infectious Diseases, Brown University Alpert Medical School, Providence, Rhode Island 02912, United States.
Vlad NovitskyDivision of Infectious Diseases, Brown University Alpert Medical School, Providence, Rhode Island 02912, United States.
Jimin ShinThe Miriam Hospital, Providence, Rhode Island 02906, United States.
Evelyn HipolitoRhode Island Hospital, Providence, Rhode Island 02903, United States.
Isabella DiazRhode Island Hospital, Providence, Rhode Island 02903, United States.
Daniella CarnevaleRhode Island Hospital, Providence, Rhode Island 02903, United States.
Anubhav TripathiCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, Rhode Island 02912, United States.ORCID https://orcid.org/0000-0002-8915-2320
Brown University · USMiriam Hospital · USRhode Island Hospital · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
NIAID NIH HHS P30 AI042853
6 · The paper itself

Abstract

COVID-19 is an infectious disease that caused a global pandemic affecting people worldwide. As disease detection and vaccine rollout continue to progress, there is still a need for efficient diagnostic tools to satisfy continued testing needs. This preliminary study evaluated a novel SARS-CoV-2 diagnostic test called DirectDetect SARS-CoV-2 Direct Real-time reverse transcriptase polymerase chain reaction (RT-PCR) based on a limited sample size of 24 respiratory samples from 14 SARS-CoV-2-positive patients. The test is advantageous compared to others on the market since it does not require viral transport medium or viral RNA extraction prior to nucleic acid amplification and detection. This capability transforms the hours-long sample preparation time into a minutes-long procedure while also eliminating the need for many costly reagents which may be difficult to obtain during the surge in nucleic acid-based testing during the pandemic. The results show a positive agreement of 94.7, 100, and 94.7% between dry sample swabs, treated samples, and untreated samples tested using the DirectDetect SARS-CoV-2 Direct Real-time RT-PCR compared to tests used in a clinical laboratory, respectively. The findings indicate that DirectDetect can be used for multiple different sample types while reducing the number of reagents and time needed for diagnosis. Although this study shows promising results using the DirectDetect results, further validation of this test using a larger sample set is required to assess the true performance of this test.

Identifiers

PMID35187313
PMCPMC8845437
OpenAlexW4213253576

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.