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Record W2085677238 · doi:10.1097/inf.0000000000000112

Human Parechovirus Central Nervous System Infections in Southern California Children

2013· article· en· W2085677238 on OpenAlexaff
Susanna Felsenstein, Shangxin Yang, Natalie Eubanks, Edwin Sobrera, John P. Grimm, Grace M. Aldrovandi

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Immunology Research
Canadian institutionsCalgary Laboratory Services
Fundersnot available
KeywordsMedicineCerebrospinal fluidLumbar punctureEtiologyMeningoencephalitisEnterovirusMeningitisPediatricsCentral nervous systemDifferential diagnosisImmunologyInternal medicinePathologyVirus

Abstract

fetched live from OpenAlex

BACKGROUND: Human parechoviruses (hPeV) are increasingly recognized as significant etiological agents for meningoencephalitis especially in young children, but testing of cerebrospinal fluid (CSF) for hPeV by PCR is not routinely performed. METHODS: We used real-time reverse transcriptase PCR for detection of serotypes 1-6 in CSF samples of 440 children who underwent a lumbar puncture to exclude an infectious etiology of their clinical presentation. We then compared the prevalence and clinical presentation of children with hPeV-positive CSF with that of children with enterovirus (EV)-positive CSF. RESULTS: HPeV was detected in 2.7% and EV in 10.7% of CSF samples. Many hPeV-positive patients were <3 months of age and usually had CSF parameters within the age-adjusted normal range. However, children with hPeV-positive CSF presented with neurologic symptoms more frequently than those with EV-positive CSF. CONCLUSIONS: HPeV infections of the central nervous system occurred mainly in young infants and were more commonly associated with neurologic symptoms at presentation, despite the fact that CSF findings were within the normal range in the vast majority of these cases. HPeV should be included in the differential diagnosis of young children with central nervous system symptoms and sepsis-like illness, even in the presence of normal CSF parameters.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.010
GPT teacher head0.257
Teacher spread0.248 · 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 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

Citations49
Published2013
Admission routes1
Has abstractyes

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