ReviewHealth science reports2026
Aptamer-Based Approaches for Influenza Virus Detection: A Systematic Review.
Review in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Review
- Aptamer-Based Approaches for Influenza Virus Detection: A Systematic Review.Health science reports · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Influenza remains a globally prevalent respiratory infection that is challenging to diagnose accurately. This systematic review focuses on aptamer-based tools for influenza virus detection, aiming to overcome the limitations of traditional diagnostic methods. Methods: Following PRISMA guidelines, we identified relevant studies from official databases (PubMed, Web of Science, Scopus, Embase, Google Scholar) and grey literature sources. The search strategy utilized keywords related to aptamers, systematic evolution of ligands by exponential enrichment (SELEX) techniques, and influenza. The qualitative synthesis included 22 articles out of 1432 studies. Results: Our analysis revealed diverse aptamer-based techniques for influenza detection, including fluorescence resonance energy transfer (FRET)-based aptasensors, electrochemical sensors, and surface-enhanced raman scattering (SERS)-based methods. SELEX was the predominant method for aptamer development, ensuring high specificity and adaptability to various influenza strains. Notably, FRET-based methods demonstrated detection limits as low as 0.43 ng/mL, while electrochemical approaches exhibited high sensitivity with low detection limits in the picomolar range. The findings highlight the advantages of aptamers, including cost-effectiveness, stability, and rapid synthesis, though challenges related to reproducibility and technological complexity remain. Conclusion: Aptamer-based tools offer promising alternatives to traditional diagnostics, especially for rapid and field-deployable influenza detection. Their adaptability and potential for multiplex detection underscore their role in advancing public health diagnostics. Further research should focus on optimizing sensitivity and simplifying technological requirements for broader clinical applications.
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Registered trials
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.