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Comparison of a singleplex real‐time RT‐PCR assay and multiplex respiratory viral panel assay for detection of influenza “A” in respiratory specimens

2010· article· en· W1529558714 on OpenAlexaff
Kanti Pabbaraju, Sallene Wong, Bonita E. Lee, Raymond Tellier, Kevin Fonseca, Marie Louie, Steven J. Drews

Bibliographic record

VenueInfluenza and Other Respiratory Viruses · 2010
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsUniversity of CalgaryUniversity of AlbertaProvincial Laboratory of Public Health
FundersCenters for Disease Control and Prevention
KeywordsMultiplexVirologyRespiratory systemReal-time polymerase chain reactionPandemic influenzaViral loadInfluenza A virusPandemicVirusMultiplex polymerase chain reactionMedicineBiologyPolymerase chain reactionCoronavirus disease 2019 (COVID-19)Internal medicineGeneBioinformaticsInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

BACKGROUND: Evaluation of different molecular tests for the detection of pandemic (H1N1) 2009 virus is important before the next wave of the pandemic. OBJECTIVES: To compare a hydrolysis probe-based real-time RTPCR assay recommended by the CDC to the xTAG respiratory viral panel (RVP) (Luminex Molecular Diagnostics) for the detection of influenza A. METHODS: Eleven thousand eight hundred and ninety-eight respiratory specimens were tested by the real-time RT-PCR and RVP assays for the detection of influenza A. The distribution of seasonal H1, H3 and pandemic H1N1 subtypes in these specimens was compared. RESULTS: The RVP assay was generally unable to identify influenza A–positive samples with a low viral load, whereas the real-time RT-PCR assay detected most of these samples resulting in a subset of specimens that could not be confirmed as either seasonal or pandemic influenza A subtypes. CONCLUSIONS: When the prevalence of influenza A is high, the CDC recommended real-time RT-PCR has significant advantages as a frontline assay, namely higher sensitivity and shorter time to reporting a result. Anticipated scenarios would be during the peaks of the pandemic and episodes of seasonal influenza. Furthermore, the better sensitivity of the RT-PCR makes it the preferred assay to detect influenza in patients with severe respiratory disease tested late in their clinical course. If pandemic (H1N1) 2009 virus is not the dominant virus and there is a high proportion of other respiratory viruses circulating, laboratories will be faced with the decision to use the RVP assay for the detection of pandemic (H1N1) 2009 virus.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.219
GPT teacher head0.442
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations23
Published2010
Admission routes1
Has abstractyes

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