Evidence map›Paper›PMID 37230728›Full record

ReviewAnalytica chimica acta2023

Trends of respiratory virus detection in point-of-care testing: A review.

Youngung Seok, Michael G Mauk, Ruijie Li, Cheng Qian

Abstract readReview
In one paragraph

Review in Analytica chimica acta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Development of a point-of-care test for the simultaneous detection of respiratory syncytial virus and IL-33 as a disease biomarker in children.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  7. Article
  8. Article
  9. Article
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  11. Review
  12. Article
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  14. Respiratory pathogenic microbial infections: a narrative review.International journal of medical sciences · 2024
    Review
  15. Article
  16. 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

4 authors.

Youngung SeokDepartment of Biotechnology and Bioengineering, Chonnam National University, Gwangju, 61186, Republic of Korea; Department of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, 216 Towne Building, 220 S. 33rd Street, Philadelphia, PA, 19104, USA. Electronic address: stonehero@jnu.ac.kr.
Michael G MaukDepartment of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, 216 Towne Building, 220 S. 33rd Street, Philadelphia, PA, 19104, USA.
Ruijie LiTechnical Institute of Physics and Chemistry, Chinese Academy of Sciences, 29 Zhongguancun East Road, Haidian District, Beijing, 100190, China.
Cheng QianKey Laboratory for Food Microbial Technology of Zhejiang Province, College of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang, 310018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In resource-limited conditions such as the COVID-19 pandemic, on-site detection of diseases using the Point-of-care testing (POCT) technique is becoming a key factor in overcoming crises and saving lives. For practical POCT in the field, affordable, sensitive, and rapid medical testing should be performed on simple and portable platforms, instead of laboratory facilities. In this review, we introduce recent approaches to the detection of respiratory virus targets, analysis trends, and prospects. Respiratory viruses occur everywhere and are one of the most common and widely spreading infectious diseases in the human global society. Seasonal influenza, avian influenza, coronavirus, and COVID-19 are examples of such diseases. On-site detection and POCT for respiratory viruses are state-of-the-art technologies in this field and are commercially valuable global healthcare topics. Cutting-edge POCT techniques have focused on the detection of respiratory viruses for early diagnosis, prevention, and monitoring to protect against the spread of COVID-19. In particular, we highlight the application of sensing techniques to each platform to reveal the challenges of the development stage. Recent POCT approaches have been summarized in terms of principle, sensitivity, analysis time, and convenience for field applications. Based on the analysis of current states, we also suggest the remaining challenges and prospects for the use of the POCT technique for respiratory virus detection to improve our protection ability and prevent the next pandemic.

Indexed as

COVID-19VirusesHumansPandemicsPoint-of-Care TestingCommercializeEarly diagnosisImmunodiagnosticsMicrofluidicsMolecular diagnosticsNucleic acid amplification testPaper-based analysisPoint-of-care testingRespiratory virusState-of-the-art

Identifiers

PMID37230728
PMCPMC10163836

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.