Evidence map›Paper›PMID 34519100›Full record

ArticleJournal of clinical laboratory analysis2021

Evaluation of a new point-of-care quantitative reverse transcription polymerase chain test for detecting severe acute respiratory syndrome coronavirus 2.

Yoshiyuki Watanabe, Ritsuko Oikawa, Toshio Suzuki, Hidemitsu Funabashi, Daisuke Asai, Yutaka Hatori, Hiromu Takemura, Hiroyuki Yamamoto, Fumio Itoh

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. 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
0.3field-weighted citation impact, top 39% 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, 5 citations in OpenAlex.

  1. Review
  2. Article
  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

9 authors at 4 institutions in 1 country.

Yoshiyuki WatanabeDepartment of Internal Medicine, Kawasaki Rinko General Hospital, Kawasaki, Japan.ORCID https://orcid.org/0000-0001-9037-3596
Ritsuko OikawaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Japan.
Toshio SuzukiDepartment of Medical Oncology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Hidemitsu FunabashiDivision of Respiratory Medicine, Department of Internal Medicine, Matsudo City General Hospital, Matsudo, Japan.
Daisuke AsaiDepartment of Microbiology, St Marianna University School of Medicine, Kawasaki, Japan.
Yutaka HatoriDepartment of Internal Medicine, Hatori Clinic, Kawasaki, Japan.
Hiromu TakemuraDepartment of Microbiology, St Marianna University School of Medicine, Kawasaki, Japan.
Hiroyuki YamamotoDivision of Gastroenterology and Hepatology, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Japan.
Fumio ItohDivision of Gastroenterology and Hepatology, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Japan.
St. Marianna University School of Medicine · JPChikamori Hospital · JPMatsudo City Hospital · JPUniversity of Tsukuba · JP

Funding

Grants-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan 16K09295Grants-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan 19H03568
6 · The paper itself

Abstract

backgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is rapidly spreading worldwide, and the resultant disease, coronavirus disease (COVID-19), has become a global pandemic. Although there are multiple methods for detecting SARS-CoV-2, there are some issues with such tests, including long processing time, expense, low sensitivity, complexity, risk of contamination, and user friendly. This study evaluated the reproducibility and usability of a new point-of-care test (POCT) using real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) for detecting SARS-CoV-2.

methodsSamples from 96 patients with suspected SARS-CoV-2 infection were assessed using the real-time qRT-PCR-based POCT and the conventional real-time qRT-PCR method based on the Japanese National Institute of Infectious Diseases guidelines (registration number: jRCT1032200025).

resultsThe real-time qRT-PCR-based POCT had a positive agreement rate of 90.0% (18/20), a negative agreement rate of 100% (76/76), and a total agreement rate of 97.9% (94/96), and the significantly high score of questionnaire survey (total score p < 0.0001). In the two cases in which real-time qRT-PCR-based POCT results did not match conventional real-time qRT-PCR test results, the SARS-CoV-2 RNA copy numbers were 8.0 copies per test in one case and below the detection limit in the other case when quantified using conventional real-time qRT-PCR. All patients could be triaged within 1 day using the real-time qRT-PCR-based POCT without invalid reports.

conclusionsThe real-time qRT-PCR-based POCT not only had high reproducibility and useability but also allowed rapid patient triage. Therefore, it may be helpful in clinical settings.

Indexed as

AdultAgedBinding SitesCOVID-19 Nucleic Acid TestingHumansMiddle AgedMutationPoint-of-Care TestingReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, ViralSARS-CoV-2RNA, ViralCOVID-19POCTqRT-PCRquenching probeSARS-CoV-2

Identifiers

PMID34519100
PMCPMC8529137
OpenAlexW3200573692

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.