Evidence map›Paper›PMID 33520332›Full record

ReviewEngineering (Beijing, China)2020

A High-Throughput, Multi-Index Isothermal Amplification Platform for Rapid Detection of 19 Types of Common Respiratory Viruses Including SARS-CoV-2.

Wanli Xing, Yingying Liu, Huili Wang, Shanglin Li, Yongping Lin, Lei Chen, Yan Zhao, Shuang Chao, Xiaolan Huang, Shaolin Ge and 12 more

Abstract readReview
In one paragraph

Review in Engineering (Beijing, China), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

22 authors.

Wanli XingDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Yingying LiuNational Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
Huili WangDepartment of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China.
Shanglin LiDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Yongping LinDepartment of Laboratory Medicine, First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Lei ChenDepartment of Neurology, West China Hospital, Sichuan University, Chengdu 610041, China.
Yan ZhaoClinical Laboratory Center, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China.
Shuang ChaoDepartment of Pediatrics, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China.
Xiaolan HuangExperiment Center, Capital Institute of Pediatrics, Beijing 100020, China.
Shaolin GeNational Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
Tao DengCapitalBio Technology, Beijing 101111, China.
Tian ZhaoNational Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
Baolian LiNational Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
Hanbo WangNational Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
Lei WangNational Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China.
Yunpeng SongCapitalBio Technology, Beijing 101111, China.
Ronghua JinPresident's Office, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China.
Jianxing HeDepartment of Cardiothoracic Surgery, State Key Laboratory of Respiratory Disease, China Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Xiuying ZhaoDepartment of Clinical Laboratory, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China.
Peng LiuDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Weimin LiDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.
Jing ChengDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fast and accurate diagnosis and the immediate isolation of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are regarded as the most effective measures to restrain the coronavirus disease 2019 (COVID-19) pandemic. Here, we present a high-throughput, multi-index nucleic acid isothermal amplification analyzer (RTisochip™-W) employing a centrifugal microfluidic chip to detect 19 common respiratory viruses, including SARS-CoV-2, from 16 samples in a single run within 90 min. The limits of detection of all the viruses analyzed by the RTisochip™-W system were equal to or less than 50 copies·μL

Indexed as

Coronavirus disease 2019Isothermal amplificationMicrofluidicsNucleic acid testingSevere acute respiratory syndrome coronavirus 2

Identifiers

PMID33520332
PMCPMC7833526

What OpenQuestion holds

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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.