Evidence map›Paper›PMID 34869072›Full record

ArticleFrontiers in cellular and infection microbiology2021

Copan Walk Away Specimen Processor (WASP) Automated System for Pathogen Detection in Female Reproductive Tract Specimens.

Jing Gao, Qiujing Chen, Yiqian Peng, Nanyan Jiang, Youhao Shi, Chunmei Ying

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 81% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Deep Learning-Based Rapid Identification ofRisk management and healthcare policy · 2026
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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

6 authors at 2 institutions in 1 country.

Jing GaoDepartment of Clinical Laboratory, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Qiujing ChenInstitute of Cardiovascular Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yiqian PengDepartment of Clinical Laboratory, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Nanyan JiangDepartment of Clinical Laboratory, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Youhao ShiDepartment of Clinical Laboratory, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Chunmei YingDepartment of Clinical Laboratory, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Obstetrics and Gynecology Hospital of Fudan University · CNRuijin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Automation is increasingly being applied in clinical laboratories; however, preanalytical processing for microbiology tests and screening is still largely performed using manual methods owing to the complex procedures involved. To promote automation of clinical microbiology laboratories, it is important to assess the performance of automated systems for different specimen types separately. Therefore, the aim of this study was to explore the potential clinical application of the Copan Walk Away Specimen Processor (WASP) automated preanalytical microbiology processing system in the detection of pathogens in female reproductive tract specimens and its feasibility in optimizing diagnostic procedures. Methods: Female reproductive tract specimens collected from pregnant women at their first obstetric check-up were inoculated into culture media using the Copan WASP automated specimen processing system and were also cultured using a conventional manual inoculation method. After 48 h of culture, the growth of colonies was observed, and the types of bacteria, number of colonies, and efficiency in isolating single colonies were compared between the automated and manual groups. The specimens collected from the WASP system using the Copan-ESwab sample collection tubes were further analyzed for the presence of Results: Compared with the manual culture method, the Copan WASP microbiology automation system detected fewer bacterial types ( Conclusion: The Copan WASP microbiology automation system could facilitate the optimization of diagnostic procedures for detecting common pathogens of the female reproductive system, thereby reducing associated costs.

Indexed as

Chlamydia InfectionsLaboratories, ClinicalBacteriological TechniquesChlamydia trachomatisFemaleGenitalia, FemaleHumansPregnancySensitivity and SpecificitySpecimen Handlingautomationbacteriology,Copan-ESwabCopan WASPdiagnosticfemale reproductive tract specimens

Identifiers

PMID34869072
PMCPMC8635742
OpenAlexW3211832671

What OpenQuestion holds

Textmetadata
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.