Evidence map›Paper›PMID 33172401›Full record

ArticleBMC infectious diseases2020

Evaluation of TaqMan Array card (TAC) for the detection of 28 respiratory pathogens.

Keke Liu, Hongbo Jing, Ying Chen, Xin Zheng, Hua Jiang, Decong Kong, Yvling Zheng, Shuiping Chen, Peng Liu, Yongqiang Jiang

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 15 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 6 institutions in 1 country.

Keke LiuState Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China.
Hongbo JingDepartment of Laboratory Medicine, Shunyi District Center for Disease Control and Prevention, Beijing, China.
Ying ChenSchool of Food and Chemical Engineering, Beijing Technology and Business University, Beijing, 100048, China.
Xin ZhengState Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China.
Hua JiangState Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China.
Decong KongState Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China.
Yvling ZhengState Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China.
Shuiping ChenDepartment of Laboratory Medicine, the Fifth Medical Centre, Chinese PLA General Hospital, Beijing, China. shpchen@hotmail.com.
Peng LiuState Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China. ammsliupeng@163.com.
Yongqiang JiangState Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China. jiangyq@bmi.ac.cn.
Academy of Military Medical Sciences · CNInstitute of Microbiology · CNBeijing Center for Disease Prevention and Control · CNBeijing Technology and Business University · CNChinese PLA General Hospital · CNShandong Provincial Hospital · CN

Funding

the Chinese State Key Project Specialized for Infectious Diseases 2018ZX10711001-003the Chinese State Key Project Specialized for Infectious Diseases 2018ZX10712001-015the Chinese State Key Project Specialized for Infectious Diseases 2018ZX10732401-001-008the National Natural Science Foundation of China 81772144
6 · The paper itself

Abstract

backgroundRespiratory infections are a serious threat to human health. So, rapid detection of all respiratory pathogens can facilitate prompt treatment and prevent the deterioration of respiratory disease. Previously published primers and probes of the TaqMan array card (TAC) for respiratory pathogens are not sensitive to Chinese clinical specimens. This study aimed to develop and improve the TAC assay to detect 28 respiratory viral and bacterial pathogens in a Chinese population.

methodsTo improve the sensitivity, we redesigned the primers and probes, and labeled the probes with minor groove binders. The amplification efficiency, sensitivity, and specificity of the primers and probes were determined using target-gene containing standard plasmids. The detection performance of the TAC was evaluated on 754 clinical specimens and the results were compared with those from conventional methods.

resultsThe performance of the TAC assay was evaluated using 754 clinical throat swab samples and the results were compared with those from gold-standard methods. The sensitivity and specificity were 95.4 and 96.6%, respectively. The lowest detection limit of the TAC was 10 to 100 copies/μL.

conclusionsTAC is an efficient, accurate, and high-throughput approach to detecting multiple respiratory pathogens simultaneously and is a promising tool for the identification of pathogen outbreaks.

Indexed as

BacteriaChinaData AccuracyDNA PrimersHumansReal-Time Polymerase Chain ReactionRespiratory Tract InfectionsSensitivity and SpecificityVirusesDNA PrimersNucleic acid detectionReal-time PCRRespiratory pathogenTaqMan Array card

Identifiers

PMID33172401
PMCPMC7653217
OpenAlexW3099626741

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.