Evidence map›Paper›PMID 42057199›Full record

ReviewJournal of biological engineering2026

Trends of nucleic acid - based point-of-care diagnostics for infectious diseases.

Hossam Hatem, Mohamed Mysara, Raghda Ramadan

Abstract readReview
In one paragraph

Review in Journal of biological engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hossam HatemBioinformatics Group, Center for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, 12588, Egypt.
Mohamed Mysara *Bioinformatics Group, Center for Informatics Science (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, 12588, Egypt.
Raghda Ramadan *Biotechnology Research and Innovation Centre (BRIC), School of Biotechnology, Nile University, Giza, 12588, Egypt. mmaysara@nu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global emergence and spread of infectious diseases highlights the importance of having an easily accessible, decentralized testing modality that is adept at quickly identifying the nucleic acids present in a Point-of-Care (PoC) setting. PoC-based nucleic acid diagnostics encompass a broad range of platforms, such as lateral flow, biochips, and biosensors, whose primary goal has always been to offer sensitive, selective, and economically viable testing beyond conventional laboratory facilities. The current review illustrates a comprehensive overview of PoC-based nucleic acid diagnostics for infectious diseases, as it is divided into three major operational steps: nucleic acid extraction, amplification, and detection. Firstly, it describes strategies that could effectively work as a PoC, such as magnetic bead-based, paper-based, and integrated microfluidic approaches, while further focusing on their ability to remain simplified, rugged, and equipment-free. Secondly, it summarizes key amplification methods, such as Polymerase Chain Reaction (PCR), Nucleic Acid Sequence-Based Amplification (NASBA), Recombinase Polymerase Amplification (RPA), and Loop-Mediated Isothermal Amplification (LAMP), as they have all been modified to effectively work under more rapid, low-power, and portable conditions. Lastly, it introduces all presently known detection platforms, starting from simpler colorimetric and fluorescent assays present in lateral flow or device platforms, to innovative and advanced biosensors like those exploiting CRISPR/Cas systems and toehold switch principles, as these detectively offer highly sensitive and highly programmable nucleic acid recognition.

Indexed as

CRISPR-based DiagnosticsInfectious Diseaselab-on-a-chipNucleic Acid-based DiagnosticsPoint-of-care diagnostics

Identifiers

PMID42057199
PMCPMC13130695

What OpenQuestion holds

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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.