MétaCan
Menu
Back to cohort
Record W2220030043 · doi:10.1586/14760584.2016.1115351

Challenges in vaccinating infants born to mothers taking immunoglobulin biologicals during pregnancy

2015· review· en· W2220030043 on OpenAlexaff
Juejing Ling, Gideon Koren

Bibliographic record

VenueExpert Review of Vaccines · 2015
Typereview
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicinePregnancyIn uteroVaccinationImmunologyAntibodyImmune systemFetusBiology

Abstract

fetched live from OpenAlex

While immunoglobulin biologicals are increasingly used during pregnancy, there have been concerns on the immune function and vaccination of infants born to mothers taking immunoglobulin biologicals. In addition to the detection of biologicals in cord blood, cases of severe neonatal neutropenia and fatal dissemination of Bacillus Calmette-Guérin (BCG) have been reported. With increasing number of infants exposed to immunoglobulin biologicals in utero, there is a need to address the challenges in vaccinating these infants. This review summarizes the available evidence to discuss the issues of immunoglobulin biological exposure in utero, neonatal immune function, long-term immune development, and the challenges and strategies of vaccinating newborns and infants who were born to mothers taking biologicals during pregnancy.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.157
GPT teacher head0.451
Teacher spread0.294 · 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 designOther design
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

Citations40
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueExpert Review of VaccinesSame topicPregnancy and Medication ImpactFrench-language works237,207