Evidence map›Paper›PMID 32576134›Full record

ArticleBMC microbiology2020

Development of a droplet digital PCR method for detection of Streptococcus agalactiae.

Yi-Fan Zeng, Chu-Mao Chen, Xiao-Yan Li, Jun-Jiang Chen, Yan-Ge Wang, Shi Ouyang, Tian-Xing Ji, Yong Xia, Xu-Guang Guo

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 20 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

9 authors at 4 institutions in 1 country.

Yi-Fan ZengDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Chu-Mao ChenDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Xiao-Yan LiThe Fifth Affiliated Hospital, Southern Medical University, Guangzhou, 510900, China.
Jun-Jiang ChenDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Yan-Ge WangDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Shi OuyangDepartment of Infectious Disease, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, China.
Tian-Xing JiDepartment of Clinical Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 511436, China.
Yong XiaDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Xu-Guang GuoDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China. gysygxg@gmail.com.
Guangzhou Medical University · CNThird Affiliated Hospital of Guangzhou Medical University · CNShanghaiTech University · CNSouthern Medical University · CN

Funding

Guangdong University Student Science and Technology Innovation Cultivation Special Fund Projects pdjh2017b0421National Natural Science Foundation of China 81700004Natural Science Foundation of Guangdong Province (CN) 2015A030313684Science and Technology Innovation Project of Guangzhou Medical University 2016A046
6 · The paper itself

Abstract

backgroundStreptococcus agalactiae (GBS) is the causative pathogen of puerperal sepsis in pregnant women and pneumonia, sepsis and meningitis in infants. Infection of GBS is responsible for the increased morbidity in pregnant women and the elderly, and bring challenges to clinical diagnosis and treatment. However, culture-based approaches to detect S.agalactiae is time-consuming with limited sensitivity. Besides, real-time quantitative PCR demands expensive instruments with tedious steps. Thus, we aim to establish a new detection method for more accurate and rapid detection of S.agalactiae.

resultsThe ddPCR primer targeted the CpsE gene showed better amplified efficiency in the reaction. The limit of detection for GBS DNA with ddPCR was able to reach 5 pg/μL. Moreover, no positive amplified signals could be detected in the reactions which served 11 non-GBS strains DNA as templates. Furthermore, the coefficient of variation of this method was 4.5%, indicating excellent repeatability of ddPCR assay.

conclusionsIn our study, ddPCR was performed as a rapid detection of S.agalactiae with high sensitivity and specificity. This technique can promote the accuracy of the diagnosis of GBS infection and provide a scientific basis for clinical treatment.

Indexed as

Bacterial ProteinsDNA PrimersEarly DiagnosisHumansLimit of DetectionPolymerase Chain ReactionStreptococcal InfectionsStreptococcus agalactiaeBacterial ProteinsDNA PrimersDroplet digital PCRQuantitationStreptococcus agalactiae

Identifiers

PMID32576134
PMCPMC7310480
OpenAlexW3037605776

What OpenQuestion holds

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LicenceCC BY
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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.