Evidence map›Paper›PMID 41184276›Full record

ReviewMicrosystems & nanoengineering2025

Towards practical point-of-care quick, ubiquitous, integrated, cost-efficient molecular diagnostic Kit (QUICK) PCR for future pandemic response.

Seongryeong Kim, Kiran Shrestha, Gyoujin Cho

Abstract readReview
In one paragraph

Review in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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

3 authors.

Seongryeong KimDepartment of Biophysics, Sungkyunkwan University, Suwon, South Korea.
Kiran ShresthaInstitute of Quantum Biophysics, Sungkyunkwan University, Suwon, South Korea.
Gyoujin ChoDepartment of Biophysics, Sungkyunkwan University, Suwon, South Korea. gcho1004@skku.edu.

Funding

Korea Health Industry Development Institute (KHIDI) RS-2025-02263957
6 · The paper itself

Abstract

In response to the ongoing threat of infectious disease outbreaks, such as coronavirus disease (COVID-19) pandemic, numerous technological advancements in nucleic acid amplification testing (NAAT) based point-of-care test (PoCT) have been introduced to enable simple, rapid, and accurate diagnostic tests. However, only a few innovations in NAAT methods have been successfully commercialized. In this review, the significant advancements in diagnostic technologies, focusing on sample preparation methods, rapid thermal cycling technologies, and integrated result readout methods, are summarized with their key limitations that have hindered the practical implementation of polymerase chain reaction (PCR)-based PoCT, called a QUICK-PCR: quick, ubiquitous, integrated, cost-efficient molecular diagnostic kit based on PCR. In addition, the details of the core components to realize QUICK-PCR were prospectively suggested with a comparative overview for the PCR-based molecular diagnosis process, innovations in sample preparation using microfluidic chips, and direct PCR approaches. Especially, advancement in recent thermal cycling techniques that use Joule heating, thermoelectric heating, and plasmonic heating were highlighted while integrated readout methods that utilize fluorescence, colorimetry, and electrochemical techniques were examined. Based on analyzing key barriers in developing PCR-based PoCT, we highlight recent advancements in developing the PCR-based PoCT which can be implemented in the QUICK-PCR. The prospective QUICK-PCR will remove inequality in health care in resource-limited remote areas under the threatens of infectious diseases.

Identifiers

PMID41184276
PMCPMC12583579

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Registered trials

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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.