Evidence map›Paper›PMID 35624599›Full record

ArticleBiosensors2022

RT-LAMP-Based Molecular Diagnostic Set-Up for Rapid Hepatitis C Virus Testing.

Sandhya Sharma, Emmanuel Thomas, Massimo Caputi, Waseem Asghar

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Lessons Learned from Liver-on-Chip Platform.Annals of biomedical engineering · 2025
    Review
  3. Development of RT-LAMP assay for variants of HCV in Pakistan.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  4. A review of historical landmarks and pioneering technologies for the diagnosis of Hepatitis C Virus (HCV).European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Review
  5. Article
  6. Current advances in Hepatitis C diagnostics.Journal of biological engineering · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

4 authors at 2 institutions in 1 country.

Sandhya SharmaDepartment of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA.
Emmanuel ThomasDepartment of Microbiology and Immunology and Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL 33136, USA.
Massimo CaputiCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.
Waseem AsgharDepartment of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA.ORCID 0000-0003-0458-8430
Florida Atlantic University · USUniversity of Miami · US

Funding

A MULTIFACETED APPROACH TO STUDY TISSUE AND CELL TYPE SPECIFIC MOLECULAR MECHANISMS OF THE HOST RESPONSE TO ACUTE/CHRONIC VIRAL INFECTIONR35GM124915 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Emmanuel Thomas · 2017 to 2026
$3.9M
Development of an automated HIV self-testing assayR61AI154643 · NIAID · FLORIDA ATLANTIC UNIVERSITY · PI ASGHAR, WASEEM · 2022 to 2024
$1.3M
National Science Foundation 1942487NIAID NIH HHS L30 AI107941NIAID NIH HHS R61 AI154643NIGMS NIH HHS R35 GM124915NIH HHS R61AI154643
6 · The paper itself

Abstract

Hepatitis C virus (HCV) infections occur in approximately 3% of the world population. The development of an enhanced and extensive-scale screening is required to accomplish the World Health Organization's (WHO) goal of eliminating HCV as a public health problem by 2030. However, standard testing methods are time-consuming, expensive, and challenging to deploy in remote and underdeveloped areas. Therefore, a cost-effective, rapid, and accurate point-of-care (POC) diagnostic test is needed to properly manage the disease and reduce the economic burden caused by high case numbers. Herein, we present a fully automated reverse-transcription loop-mediated isothermal amplification (RT-LAMP)-based molecular diagnostic set-up for rapid HCV detection. The set-up consists of an automated disposable microfluidic chip, a small surface heater, and a reusable magnetic actuation platform. The microfluidic chip contains multiple chambers in which the plasma sample is processed. The system utilizes SYBR green dye to detect the amplification product with the naked eye. The efficiency of the microfluidic chip was tested with human plasma samples spiked with HCV virions, and the limit of detection observed was 500 virions/mL within 45 min. The entire virus detection process was executed inside a uniquely designed, inexpensive, disposable, and self-driven microfluidic chip with high sensitivity and specificity.

Indexed as

HepacivirusHepatitis CHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPathology, MolecularSensitivity and Specificitycolorimetric detectionmicrofluidicsmolecular HCV testpoint-of-care diagnosticsRT-LAMP

Identifiers

PMID35624599
PMCPMC9138684
OpenAlexW4229003333

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.