Evidence map›Paper›PMID 33945580›Full record

ArticlePloS one2021

Detection of Neisseria gonorrhoeae and Chlamydia trachomatis infections in pregnant women by multiplex recombinase polymerase amplification.

Jingjing Zhai, Limin Wang, Xiaoliang Qiao, Jianping Zhao, Xuexia Wang, Xiaohong He

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 15% 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, 19 citations in OpenAlex.

  1. Article
  2. Article
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  4. Visual and rapid identification ofFrontiers in cellular and infection microbiology · 2023
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  6. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Jingjing ZhaiDepartment of Clinical Laboratory, Women and Infants Hospital of Zhengzhou, Zhengzhou, China.
Limin WangDepartment of Clinical Laboratory, Women and Infants Hospital of Zhengzhou, Zhengzhou, China.ORCID 0000-0002-6856-4924
Xiaoliang QiaoDepartment of Clinical Laboratory, Women and Infants Hospital of Zhengzhou, Zhengzhou, China.
Jianping ZhaoDepartment of Clinical Laboratory, Women and Infants Hospital of Zhengzhou, Zhengzhou, China.
Xuexia WangDepartment of Clinical Laboratory, Women and Infants Hospital of Zhengzhou, Zhengzhou, China.
Xiaohong HeDepartment of Clinical Laboratory, Women and Infants Hospital of Zhengzhou, Zhengzhou, China.
Zhengzhou City Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) are the main pathogenic microorganisms causing sexually transmitted infections. In this study, a multiplex thermostable recombinase polymerase amplification-lateral flow detection (RPA-LFD) assay was established, and the reaction conditions such as the ratio of primer concentration, magnesium ion concentration, amplification time and template DNA concentration in the multiplex RPA reaction were optimized. The optimized multiplex RPA-LFD method was used to detect both CT and NG positive control plasmids, and it was found that the LFD could be used to obtain visible results when the plasmid copy number was only 200. The sensitivity of the multiplex RPA-LFD method used for clinical samples was 85.62 (95% CI at 53.66-97.29) for NG detection and 90.90 (95% CI at 57.12-99.52) for CT detection.

Indexed as

Chlamydia InfectionsChlamydia trachomatisDNA, BacterialFemaleGonorrheaHumansNeisseria gonorrhoeaePregnancyPregnant PeopleReal-Time Polymerase Chain ReactionRecombinasesSensitivity and SpecificitySexually Transmitted DiseasesDNA, BacterialRecombinases

Identifiers

PMID33945580
PMCPMC8096098
OpenAlexW3157239458

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.