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Record W2597577299 · doi:10.1093/pch/pxx002

Diagnosis and management of infants with congenital cytomegalovirus infection

2017· article· en· W2597577299 on OpenAlexaff
Soren Gantt, Ari Bitnun, Christian Renaud, Fatima Kakkar, Wendy Vaudry

Bibliographic record

VenuePaediatrics & Child Health · 2017
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsUniversity of AlbertaUniversité de MontréalStollery Children's HospitalUniversity of British ColumbiaHospital for Sick ChildrenUniversity of TorontoBC Children's Hospital
Fundersnot available
KeywordsMedicineAsymptomaticCytomegalovirusSensorineural hearing lossPediatricsHearing lossSalivaNeurocognitiveVirusImmunologyHerpesviridaeViral diseaseSurgeryInternal medicineAudiology

Abstract

fetched live from OpenAlex

Congenital cytomegalovirus infection (cCMV) is the most common congenital infection, occurring in approximately 0.5% of live births. Most infected newborns are asymptomatic, but up to 20% develop sensorineural hearing loss or other permanent neurologic sequelae. The presentation of newborns with symptomatic cCMV is highly variable, and the infection is usually not diagnosed in the absence of a screening program. Newborn cCMV screening programs are estimated to be beneficial and cost-effective, and are increasingly being implemented. Diagnosis requires direct detection of virus in a sample obtained before 3 weeks of life, and is best performed by polymerase chain reaction (PCR) of saliva or urine, either of which is more sensitive than dried blood spot. Antiviral treatment of selected newborns with cCMV-related disease appears to improve hearing and neurocognitive outcomes. All infected infants should be evaluated promptly to determine appropriate therapy, and receive close audiologic and developmental follow-up.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.330
Teacher spread0.301 · 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

Citations60
Published2017
Admission routes1
Has abstractyes

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