Evidence map›Paper›PMID 32675204›Full record

ArticleThe European respiratory journal2020

Clinical application of an intelligent oropharyngeal swab robot: implication for the COVID-19 pandemic.

Shao-Qiang Li, Wen-Liang Guo, Hao Liu, Tao Wang, Yuan-Yuan Zhou, Tao Yu, Chong-Yang Wang, Yong-Ming Yang, Nan-Shan Zhong, Nuo-Fu Zhang and 1 more

Abstract readLetter
In one paragraph

Article in The European respiratory journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Robotic system for nasopharyngeal swab sampling based on remote center of motion mechanism.International journal of computer assisted radiology and surgery · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Recent Developments of Actuation Mechanisms for Continuum Robots: A Review.International journal of control, automation, and systems · 2023
    Article
  8. Review on the COVID-19 pandemic prevention and control system based on AI.Engineering applications of artificial intelligence · 2022
    Review
  9. Article
  10. A collaborative robot for COVID-19 oropharyngeal swabbing.Robotics and autonomous systems · 2022
    Article
  11. COVID-19 Isolation Control ProposalFrontiers in public health · 2022
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Robots Under COVID-19 Pandemic: A Comprehensive Survey.IEEE access : practical innovations, open solutions · 2021
    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

11 authors.

Shao-Qiang LiState Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Wen-Liang GuoState Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0003-3524-2918
Hao LiuState Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Liaoning Key Laboratory of Minimally Invasive Surgical Robot, Shenyang, China.
Tao WangState Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yuan-Yuan ZhouState Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Liaoning Key Laboratory of Minimally Invasive Surgical Robot, Shenyang, China.
Tao YuState Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Liaoning Key Laboratory of Minimally Invasive Surgical Robot, Shenyang, China.
Chong-Yang WangState Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Liaoning Key Laboratory of Minimally Invasive Surgical Robot, Shenyang, China.
Yong-Ming YangState Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Liaoning Key Laboratory of Minimally Invasive Surgical Robot, Shenyang, China.
Nan-Shan ZhongState Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Nuo-Fu ZhangState Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Shi-Yue LiState Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China lishiyue@188.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

RoboticsChinaClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingFemaleHospitals, UniversityHumansMaleMass ScreeningOropharynxPandemicsPneumonia, Viral

Identifiers

PMID32675204
PMCPMC7366183

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.