Evidence map›Paper›PMID 34538568›Full record

ArticleJournal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi2022

Multicenter study evaluating novel multi-specimen pooling assay for the detection of SARS-CoV-2: High sensitivity and high throughput testing.

Hsing-Yi Chung, Ming-Jr Jian, Chih-Kai Chang, Jung-Chung Lin, Kuo-Ming Yeh, Chien-Wen Chen, Ya-Sung Yang, Shan-Shan Hsieh, En-Sung Chen, Mei-Hsiu Yang and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi, 2022. 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
–field-weighted citation impact
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.

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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

16 authors.

Hsing-Yi ChungDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC. Electronic address: cindyft12@gmail.com.
Ming-Jr JianDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC. Electronic address: mj0106@gmail.com.
Chih-Kai ChangDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC. Electronic address: mblkaiser@gmail.com.
Jung-Chung LinDivision of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC. Electronic address: linjungchung1@yahoo.com.tw.
Kuo-Ming YehDivision of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC. Electronic address: kmyeh@mail.ndmctsgh.edu.tw.
Chien-Wen ChenDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC. Electronic address: chencw3623@yahoo.com.
Ya-Sung YangDivision of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC. Electronic address: ysyoung4097@gmail.com.
Shan-Shan HsiehDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC. Electronic address: hsieh_33@mail.ndmctsgh.edu.tw.
En-Sung ChenDepartment of Clinical Pathology, Cathay General Hospital, Taipei, Taiwan. Electronic address: ja7g@cgh.org.tw.
Mei-Hsiu YangDepartment of Clinical Pathology, Cathay General Hospital, Taipei, Taiwan. Electronic address: cgh277552@cgh.org.tw.
Sheng-Hui TangDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC. Electronic address: neotang61@gmail.com.
Cherng-Lih PerngDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC. Electronic address: ponchenli@gmail.com.
Ji-Rong YangCenters for Disease Control, Taipei, Taiwan. Electronic address: ggyang@cdc.gov.tw.
Ming-Tsan LiuCenters for Disease Control, Taipei, Taiwan. Electronic address: mtliu@cdc.gov.tw.
Feng-Yee ChangDivision of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC. Electronic address: fychang@mail.ndmctsgh.edu.tw.
Hung-Sheng ShangDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC. Electronic address: iamkeith001@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background/purposeMass screening for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is important to prevent the spread of coronavirus disease 2019 (COVID-19). Pooling samples can increase the number of tests processed. LabTurbo AIO 48 is an automated platform that allows ribonucleic acid extraction and sample analysis on the same instrument. We created a novel pooling assay on this platform for SARS-CoV-2 detection and demonstrated that the pooling strategy increases testing capacity without affecting accuracy and sensitivity.

methodsComparative limit of detection (LoD) assessment was performed on the LabTurbo AIO 48 platform and the current standard detection system based on real-time reverse transcription polymerase chain reaction (rRT-PCR) using 55 clinically positive samples. An additional 330 primary clinical samples were assessed.

resultsSix samples pooled into one reaction tube were detected in approximately 2.5 h using the World Health Organization rRT-PCR protocol. LabTurbo AIO 48 also demonstrated a higher throughput than our reference rRT-PCR assay, with an LoD of 1000 copies/mL. The overall percentage agreement between the methods for the 330 samples was 100%.

conclusionWe created a novel multi-specimen pooling assay using LabTurbo AIO 48 for the robust detection of SARS-CoV-2, allowing high-throughput results; this assay will aid in better control and prevention of COVID-19. The diagnostic assay was cost-effective and time-efficient; thus, the pooling strategy is a practical and effective method for diagnosing large quantities of specimens without compromising precision.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansReal-Time Polymerase Chain ReactionRNA, ViralSensitivity and SpecificitySpecimen HandlingRNA, ViralCoronavirus disease 2019High throughputPooled specimenSevere acute respiratory coronavirus 2

Identifiers

PMID34538568
PMCPMC8411585

What OpenQuestion holds

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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.