ReviewJournal of clinical microbiology2018
The Drift in Molecular Testing for Influenza: Mutations Affecting Assay Performance.
Review in Journal of clinical microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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Who cites it
17 citing papers in PubMed.
- UMPlex™: a targeted next-generation sequencing primer design workflow.Virology journal · 2025Article
- Using machine learning models to predict the impact of template mismatches on polymerase chain reaction assay performance.Scientific reports · 2025Article
- Article
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- Nano-based techniques: A revolutionary approach to prevent covid-19 and enhancing human awareness.Journal of drug delivery science and technology · 2023Review
- Enhanced Arbovirus Surveillance with High-Throughput Metatranscriptomic Processing of Field-Collected Mosquitoes.Viruses · 2022Article
- Multiplex Target-Redundant RT-LAMP for Robust Detection of SARS-CoV-2 Using Fluorescent Universal Displacement Probes.Microbiology spectrum · 2022Article
- Designing sensitive viral diagnostics with machine learning.Nature biotechnology · 2022Article
- Saliva-based detection of COVID-19 infection in a real-world setting using reagent-free Raman spectroscopy and machine learning.Journal of biomedical optics · 2022Article
- Respiratory viral infections in pragmatically selected adults in intensive care units.Scientific reports · 2021Article
- Bridging the gaps in test interpretation of SARS-CoV-2 through Bayesian network modelling.Epidemiology and infection · 2021Article
- PANDAA intentionally violates conventional qPCR design to enable durable, mismatch-agnostic detection of highly polymorphic pathogens.Communications biology · 2021Article
- Trends and Innovations in Biosensors for COVID-19 Mass Testing.Chembiochem : a European journal of chemical biology · 2020Review
- Analysis of RNA sequences of 3636 SARS-CoV-2 collected from 55 countries reveals selective sweep of one virus type.The Indian journal of medical research · 2020Article
- Nanopore Sequencing Reveals Novel Targets for Detection and Surveillance of Human and Avian Influenza A Viruses.Journal of clinical microbiology · 2020Article
- Panther Fusion® Respiratory Virus Assays for the detection of influenza and other respiratory viruses.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2019Article
- New Subgenotyping and Consensus Real-Time Reverse Transcription-PCR Assays for Hepatitis A Outbreak Surveillance.Journal of clinical microbiology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Influenza is associated with rapid evolution due to lack of RNA polymerase proofreading, immunogenic selection, and frequent rearrangement of gene segments. Evolutionary changes affecting the performance of diagnostic testing have long been recognized. Hence, it is not surprising that such challenges apply to nucleic acid amplification tests, even though they are designed to target highly conserved regions. Initially, case reports involved single isolates of A(H1N1)pdm09. Over the past 4 years, subtype H3N2 viruses evolved to viral clades with mutations in the WHO-recommended target region, such that almost all isolates worldwide have significantly reduced sensitivities with many commercial reverse transcription-PCR tests.
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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.