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Record W2074474027 · doi:10.1002/jmv.21136

Detection of a broad range of human adenoviruses in respiratory tract samples using a sensitive multiplex real‐time PCR assay

2008· article· en· W2074474027 on OpenAlexaff
Sallene Wong, Kanti Pabbaraju, Xiaoli Pang, Bonita E. Lee, Julie D. Fox

Bibliographic record

VenueJournal of Medical Virology · 2008
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsUniversity of CalgaryUniversity of AlbertaProvincial Laboratory of Public Health
Fundersnot available
KeywordsSerotypeOutbreakVirologyBiologyMultiplexRespiratory tract infectionsRespiratory systemMultiplex polymerase chain reactionRespiratory tractPolymerase chain reactionGeneBioinformatics

Abstract

fetched live from OpenAlex

Human adenoviruses (hAdVs) are associated with acute respiratory tract infections in pediatric populations and have been identified as a cause of outbreaks in institutional settings. Rapid diagnosis of hAdV infection is critical for appropriate and timely management. This study reports the design and validation of a sensitive and specific multiplex real-time PCR for the detection of a broad range of hAdV serotypes in respiratory samples. The assay targets the conserved region of the hAdV hexon gene and utilizes hydrolysis probes for the detection of amplified products. The assay was evaluated using retrospectively (n = 864) and prospectively (n = 11,451) collected samples from November 2005 to July 2006. Seasonality studies and analysis of outbreaks was conducted over a 2-year period from January 2005 to December 2006 (n = 33,067 samples). The assay gave a hAdV positive rate of 7.1% (n = 811) for specimens tested prospectively and was able to detect a broad range of hAdV serotypes with good sensitivity and specificity. A high rate of co-infection was noted (21.7%). Adenovirus infections were more prevalent in the young with a median age of 24 months for positive patients. Sequence analysis of hAdV positives showed that serotype 7 was the most prevalent followed by serotypes 2 and 3. Association of hAdVs with respiratory outbreaks was low at 2.3% (6 of 266 outbreaks tested) and no seasonal variation was observed for hAdV infections during the 2-year study period. This assay can improve the detection of hAdVs in respiratory samples and can be used to provide valuable epidemiological information.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.778
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.148
GPT teacher head0.413
Teacher spread0.265 · 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

Citations85
Published2008
Admission routes1
Has abstractyes

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