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Record W1580325829 · doi:10.1002/jmv.24299

Comparison of the conventional multiplex RT–PCR, real time RT–PCR and Luminex xTAG<sup>®</sup> RVP fast assay for the detection of respiratory viruses

2015· article· en· W1580325829 on OpenAlexaboutno aff
Manohar Lal Choudhary, Siddharth Anand, S A Tikhe, Atul M. Walimbe, Varsha Potdar, Mandeep Chadha, Akhilesh C. Mishra

Bibliographic record

VenueJournal of Medical Virology · 2015
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsnot available
FundersIndian Council of Medical Research
KeywordsVirologyMultiplexReal-time polymerase chain reactionRhinovirusPolymerase chain reactionRespiratory systemMultiplex polymerase chain reactionVirusBiologyMedicineGeneBioinformaticsInternal medicine

Abstract

fetched live from OpenAlex

Detection of respiratory viruses using polymerase chain reaction (PCR) is sensitive, specific and cost effective, having huge potential for patient management. In this study, the performance of an in-house developed conventional multiplex RT-PCR (mRT-PCR), real time RT-PCR (rtRT-PCR) and Luminex xTAG(®) RVP fast assay (Luminex Diagnostics, Toronto, Canada) for the detection of respiratory viruses was compared. A total 310 respiratory clinical specimens predominantly from pediatric patients, referred for diagnosis of influenza A/H1N1pdm09 from August 2009 to March 2011 were tested to determine performance characteristic of the three methods. A total 193 (62.2%) samples were detected positive for one or more viruses by mRT-PCR, 175 (56.4%) samples by real time monoplex RT-PCR, and 138 (44.5%) samples by xTAG(®) RVP fast assay. The overall sensitivity of mRT-PCR was 96.9% (95% CI: 93.5, 98.8), rtRT-PCR 87.9% (95% CI: 82.5, 92.1) and xTAG(®) RVP fast was 68.3% (95% CI: 61.4, 74.6). Rhinovirus was detected most commonly followed by respiratory syncytial virus group B and influenza A/H1N1pdm09. The monoplex real time RT-PCR and in-house developed mRT-PCR are more sensitive, specific and cost effective than the xTAG(®) RVP fast assay.

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)0.006
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.128
GPT teacher head0.426
Teacher spread0.298 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations28
Published2015
Admission routes1
Has abstractyes

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