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Record W2052520312 · doi:10.3402/ijch.v63i0.17908

A fresh look at an old vaccine: Does BCG have a role in 21st Century Canada?

2004· article· en· W2052520312 on OpenAlexaffabout
Meenakshi Dawar, M. A. Clark, SL Deeks, Wikke Walop, N Ahmadipour

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2004
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsAssembly of First NationsHealth Canada
Fundersnot available
KeywordsBCG vaccineMedicineVirologyVaccinationGerontologyGeography

Abstract

fetched live from OpenAlex

INTRODUCTION: In Canada, bacille Calmette-Guerin (BCG) vaccine is now primarily given to First Nations and Inuit (FNI) neonates living in tuberculosis (TB) endemic areas. With declining TB rates, attention has shifted from the protective effects of BCG to reports of serious vaccine-associated adverse events (VAAE). METHODS: Surveillance data were reviewed to assess TB burden and trends, BCG coverage, and VAAE among FNI people in the 1990s. RESULTS: TB among FNI people living on reserve was 25 times higher than the Canadian-born, non-Aboriginal rate between 1997 and 2000. Paediatric TB rates declined from 149 per 100,000 in 1990 to 23 per 100,000 in 2000, with one case of TB meningitis and one TB fatality (due to congenital TB) reported in the 0-4 age group. Nine cases of disseminated BCG infection occurred in a 21-year period among children with congenital or acquired immunodeficiencies. The estimated rate of disseminated BCG infection was 205 per 1,000,000 (95% CI 62-678). DISCUSSION: BCG provides protection against severe forms of childhood TB. However, in a country with publicly funded health care and declining TB rates, it is important to consider VAAE. Disseminated BCG infection increases mortality among children with immunodeficiency disorders, which now have successful therapies. Although TB remains a threat in FNI communities, early detection and treatment of TB infection may be a more appropriate intervention.

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 score0.346
Threshold uncertainty score0.780

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 studies0.0000.000
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 head0.006
GPT teacher head0.266
Teacher spread0.260 · 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

Citations11
Published2004
Admission routes2
Has abstractyes

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