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Record W2952461572 · doi:10.1097/inf.0000000000002322

Dilemmas With Rotavirus Vaccine: The Neonate and Immunocompromised

2019· review· en· W2952461572 on OpenAlexaff
Melissa Chiu, Carol Bao, Manish Sadarangani

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2019
Typereview
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineRotavirus vaccineVaccinationPediatricsRotavirusAdverse effectImmunogenicityImmunizationTransmission (telecommunications)Viral sheddingPopulationImmunologyIntensive care medicineVirusInternal medicineEnvironmental healthImmune system

Abstract

fetched live from OpenAlex

Rotavirus (RV) is the leading cause of severe gastroenteritis in young children. However, because the incorporation of live-attenuated RV vaccines as part routine childhood immunization schedules, the rates of hospitalization from RV infections have decreased significantly across the globe. While RV vaccine safety and effectiveness have been well documented in the general population, there is controversy surrounding its use in preterm and immunocompromised infants. In this article, we review current research and consensus statements on the safety of the RV vaccine, the immunogenicity of the response and the potential for transmission and shedding of the virus postvaccination in both preterm infants and immunocompromised infants. RV vaccines are well tolerated in hospitalized preterm infants with no significant increase in nosocomial infections, gastrointestinal complications or feeding difficulties. In select immunocompromised infants (such as HIV-infected or HIV-exposed infants), RV vaccine administration did not increase the rate of adverse events. However, multiple case reports noted increased rates of adverse events in infants with severe combined immunodeficiency. The risk of viral shedding and transmission between vaccinated neonates and household contacts remain low and does not outweigh the benefit of vaccination.

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 categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.913
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.035
GPT teacher head0.331
Teacher spread0.296 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations17
Published2019
Admission routes1
Has abstractyes

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