Evidence map›Paper›PMID 35044573›Full record

ArticleJournal of fluorescence2022

Development and Application of a Multiplex Fluorescent PCR for Shigella Detection and Species Identification.

Peiyan He, Henghui Wang, Yong Yan, Guoying Zhu, Zhongwen Chen

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Journal of fluorescence, 2022. 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
1.6field-weighted citation impact, top 16% 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, 16 citations in OpenAlex.

  1. Article
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  9. Identification of Potential Pathways ofPlants (Basel, Switzerland) · 2022
    Article
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

5 authors at 2 institutions in 1 country.

Peiyan HeJiaxing Center for Disease Control and Prevention, No. 486, Wen Qiao Road, Zhejiang, Jiaxing, 314050, China.
Henghui WangJiaxing Center for Disease Control and Prevention, No. 486, Wen Qiao Road, Zhejiang, Jiaxing, 314050, China.
Yong YanJiaxing Center for Disease Control and Prevention, No. 486, Wen Qiao Road, Zhejiang, Jiaxing, 314050, China.
Guoying ZhuJiaxing Center for Disease Control and Prevention, No. 486, Wen Qiao Road, Zhejiang, Jiaxing, 314050, China.
Zhongwen ChenJiaxing Center for Disease Control and Prevention, No. 486, Wen Qiao Road, Zhejiang, Jiaxing, 314050, China. jxcdcmicro@126.com.ORCID http://orcid.org/0000-0001-8932-6346
First Hospital of Jiaxing · CNJiaxing University · CN

Funding

Science and Technology Program of Jiaxing City 2017AY33071
6 · The paper itself

Abstract

This study was to develop a multiplex fluorescent PCR for Shigella detection and species identification. Five primer pairs for Shigella detection and species identification were designed by Primer Premier 5.0. The multiplex fluorescent PCR was optimized by varying single parameter while other parameters were maintained. The multiplex fluorescent PCR assay could correctly detect Shigella and identify four Shigella species with a detection limits of 10 pg genomic DNA per reaction. Testing different strains and clinical samples confirmed the sensitivity and specificity of the multiplex fluorescent PCR. The newly developed multiplex fluorescent PCR assay is simple, sensitive and specific for Shigella detection and species identification. It has a potential to be used in routine Shigella detection and species identification in clinical laboratories.

Indexed as

FluorescenceGenes, BacterialHumansMultiplex Polymerase Chain ReactionSensitivity and SpecificityShigellaMultiplex fluorescent PCRShigella bogdiiShigella dysenteriaeShigella flexneriShigella sonnei

Identifiers

PMID35044573
OpenAlexW4205661591

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.