Evidence map›Paper›PMID 36061450›Full record

ArticleFrontiers in bioengineering and biotechnology2022

Development of a high specificity typing method for the detection of herpes simplex virus.

Zhu Chen, Kaixuan Zhao, Boyu Tan, Zengrui Tong, Ziyu He, Xiaofang Luo, Lei Cai, Hanming Wang, Polly H M Leung, Franklin Wang-Ngai Chow and 2 more

Abstract read
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In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Zhu ChenHunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China.
Kaixuan ZhaoHunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China.
Boyu TanHunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China.
Zengrui TongHunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China.
Ziyu HeDepartment of Scientific Research, Zhuzhou Hospital Affiliated to Xiangya School of Medical, Central South University, Zhuzhou, China.
Xiaofang LuoCollege of Chemistry and Bioengineering, Hunan University of Science and Engineering, Yongzhou, China.
Lei CaiGuangzhou Wondfo iCubate Biotech Co. Ltd., Guangzhou, China.
Hanming WangWondfo Biotech Co. Ltd., Guangzhou, China.
Polly H M LeungDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
Franklin Wang-Ngai ChowDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
Hui ChenHunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China.
Yan DengHunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herpes disease is caused by Herpes simplex virus (HSV). It has become one of the global health problems. This paper reports a method for HSV type testing. First specific primers sequence for HSV-1 and HSV-2 were selected, designed, and synthesized. Then, these amplification products were proved by sequencing and analysis. Lastly, we optimized the reaction system and PCR reaction program by orthogonal design and sensitivity testing. Results showed that the lowest concentration in HSV-type testing is about 6.67 × 10

Indexed as

HSV-1HSV-2HSV typingorthogonal designprimer design

Identifiers

PMID36061450
PMCPMC9428506

What OpenQuestion holds

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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.