Evidence map›Paper›PMID 32838297›Full record

ReviewMatter2020

Fighting COVID-19: Integrated Micro- and Nanosystems for Viral Infection Diagnostics.

Zhen Qin, Ran Peng, Ilina Kolker Baravik, Xinyu Liu

Open access · greenAbstract readReview
In one paragraph

Review in Matter, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.0field-weighted citation impact, top 8% 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

38 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
  2. BRET-based biosensors for SARS-CoV-2 oligonucleotide detection.Frontiers in bioengineering and biotechnology · 2024
    Article
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  19. Recent Progress on Rapid Lateral Flow Assay-Based Early Diagnosis of COVID-19.Frontiers in bioengineering and biotechnology · 2022
    Review
  20. 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 at 1 institution in 1 country.

Zhen QinDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, Canada.
Ran PengDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, Canada.
Ilina Kolker BaravikDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, Canada.
Xinyu LiuDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, Canada.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pandemic of coronavirus disease 2019 (COVID-19) highlights the importance of rapid and sensitive diagnostics of viral infection that enables the efficient tracing of cases and the implementation of public health measures for disease containment. The immediate actions from both academia and industry have led to the development of many COVID-19 diagnostic systems that have secured fast-track regulatory approvals and have been serving our healthcare frontlines since the early stage of the pandemic. On diagnostic technologies, many of these clinically validated systems have significantly benefited from the recent advances in micro- and nanotechnologies in terms of platform design, analytical method, and system integration and miniaturization. The continued development of new diagnostic platforms integrating micro- and nanocomponents will address some of the shortcomings we have witnessed in the existing COVID-19 diagnostic systems. This Perspective reviews the previous and ongoing research efforts on developing integrated micro- and nanosystems for nucleic acid-based virus detection, and highlights promising technologies that could provide better solutions for the diagnosis of COVID-19 and other viral infectious diseases. With the summary and outlook of this rapidly evolving research field, we hope to inspire more research and development activities to better prepare our society for future public health crises.

Identifiers

PMID32838297
PMCPMC7346839
OpenAlexW3041277206

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.