Evidence map›Paper›PMID 33822853›Full record

ArticleAmerican journal of clinical pathology2021

Digital Droplet PCR for SARS-CoV-2 Resolves Borderline Cases.

Jing Xu, Timothy Kirtek, Yan Xu, Hui Zheng, Huiyu Yao, Emily Ostman, Dwight Oliver, James S Malter, Jeffrey R Gagan, Jeffrey A SoRelle

Open access · bronzeAbstract read
In one paragraph

Article in American journal of clinical pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Jing XuDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Timothy KirtekDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Yan XuDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Hui ZhengDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Huiyu YaoDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Dwight OliverDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
James S MalterDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Jeffrey R GaganDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Jeffrey A SoRelleDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
The University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe Bio-Rad SARS-CoV-2 ddPCR Kit (Bio-Rad Laboratories) was the first droplet digital polymerase chain reaction (ddPCR) assay to receive Food and Drug Administration (FDA) Emergency Use Authorization approval, but it has not been evaluated clinically. We describe the performance of ddPCR-in particular, its ability to confirm weak-positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) results.

methodsWe clinically validated the Bio-Rad Triplex Probe ddPCR Assay. The limit of detection was determined by using serial dilutions of SARS-CoV-2 RNA in an artificial viral envelope. The ddPCR assay was performed according to the manufacturer's specifications on specimens confirmed to be positive (n = 48) or negative (n = 30) by an FDA-validated reverse transcription-polymerase chain reaction assay on the m2000 RealTime system (Abbott). Ten borderline positive cases were also evaluated.

resultsThe limit of detection was 50 copies/mL (19 of 20 positive). Forty-seven specimens spanning a range of quantification cycles (2.9-25.9 cycle numbers) were positive by this assay (47 of 48; 97.9% positive precent agreement), and 30 negative samples were confirmed as negative (30 of 30; 100% negative percent agreement). Nine of 10 borderline cases were positive when tested in triplicate.

conclusionsThe ddPCR of SARS-CoV-2 is an accurate method, with superior sensitivity for viral RNA detection. It could provide definitive evaluation of borderline positive cases or suspected false-negative cases.

Indexed as

Real-Time Polymerase Chain ReactionSensitivity and SpecificityCOVID-19HumansLimit of DetectionRNA, ViralSARS-CoV-2Viral LoadRNA, ViralCOVID-19Digital droplet polymerase chain reactionReal-time polymerase chain reactionSARS-CoV-2

Identifiers

PMID33822853
PMCPMC8083587
OpenAlexW3140520060

What OpenQuestion holds

Textmetadata
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.