Evidence map›Paper›PMID 34319580›Full record

ArticleMolecular diagnosis & therapy2021

Analytical and Clinical Performance of Droplet Digital PCR in the Detection and Quantification of SARS-CoV-2.

Kyoung Bo Kim, Hayoung Choi, Gun Dong Lee, Jaewoong Lee, Seungok Lee, Yonggoo Kim, Sung-Yeon Cho, Dong-Gun Lee, Myungshin Kim

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Molecular diagnosis & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  10. COVID-19 Diagnosis: Current and Future Techniques.International journal of biological macromolecules · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Kyoung Bo KimDepartment of Laboratory Medicine, Keimyung University School of Medicine, Daegu, Republic of Korea.ORCID http://orcid.org/0000-0001-6461-8852
Hayoung ChoiCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-2348-0030
Gun Dong LeeCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jaewoong LeeCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-8318-050X
Seungok LeeCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4538-8427
Yonggoo KimCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-2808-3795
Sung-Yeon ChoDivision of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-5392-3405
Dong-Gun LeeDivision of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4655-0641
Myungshin KimCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. microkim@catholic.ac.kr.ORCID http://orcid.org/0000-0001-8632-0168
The Catholic University of Korea Seoul St. Mary's Hospital · KRCatholic University of Korea · KRSt. Mary's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveSince the initial coronavirus disease outbreak in late 2019 (COVID-19), reverse-transcription real-time polymerase chain reaction (RT-qPCR) has become the gold standard test to detect severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2). However, a more sensitive and accurate diagnostic tool was required. Therefore, droplet digital polymerase chain reaction (ddPCR) was suggested as an alternative method. Here, we evaluated the performance of ddPCR to detect SARS-CoV-2 and compared it to the performance of RT-qPCR.

methodsThe analytical performances, including limit of blank and limit of detection, were established using positive and negative SARS-CoV-2 reference materials. A total of 366 RNA extracts (173 positive and 193 negative by RT-qPCR) were collected from four institutions and tested with a Bio-Rad SARS-CoV-2 ddPCR kit that detects the SARS-CoV-2 genome using primers for N1 and N2.

resultsLimit of blank was set at 0, and the limits of detection of N1 and N2 were 1.99 copies/μL and 5.18 copies/μL, respectively. Linearity was evaluated using serial dilution samples, which demonstrated good results (R

conclusionsDroplet digital polymerase chain reaction demonstrated excellent sensitivity for SARS-Cov-2 detection and consistently agreed with the results from conventional RT-qPCR. Furthermore, ddPCR provided quantitative data that can be used to monitor changes in the viral load of patients with COVID-19.

Indexed as

CalibrationCOVID-19COVID-19 Nucleic Acid TestingHumansLimit of DetectionNasopharynxReference ValuesRNA, ViralSARS-CoV-2RNA, Viral

Identifiers

PMID34319580
PMCPMC8316104
OpenAlexW3186593755

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.