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Record W2079894293 · doi:10.3402/ijch.v63i0.17896

The mystery of primary biliary cirrhosis in British Columbia’s First Nations people

2004· article· en· W2079894293 on OpenAlexaffabout
Laura Arbour, Leigh Field, Paul J. Ross, Anders Erikson, Eric M. Yoshida

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2004
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsVancouver Native Health SocietyUniversity of British Columbia
Fundersnot available
KeywordsPrimary biliary cirrhosisLiver transplantationPopulationTransplantationGenetic predispositionCirrhosisMedicineGrandparentDemographyImmunologyInternal medicineEnvironmental healthDiseasePsychology

Abstract

fetched live from OpenAlex

OBJECTIVES: Primary biliary cirrhosis (PBC) is a rare chronic, progressive liver disorder leading to transplantation or death, with a known autoimmune basis. Although it has been estimated to have a prevalence of between 2-5 cases per 100,000 worldwide, it is not rare in British Columbia's (BC) First Nations (FN) peoples, where it is the leading indication for liver transplant in that population. A study of indications for liver transplant from 1989 to 1998 demonstrated that although just 3.9% of the population of BC is of FN descent, 25% of those requiring transplantation for PBC were of FN descent. From this, it can be calculated that PBC is about 8 times more common than in the non-native population. METHODS: We studied the prevalence of PCB on Vancouver Island, where about 50% of the cases on the transplant Society List are reported. RESULTS AND DISCUSSION: As with many autoimmune diseases, PBC affects women predominantly. Genetic predisposition and environmental factors are thought to contribute to the development of PBC. A strong genetic component is postulated in the BC population where 6 affected individuals are all related through common great grandparents. Nonetheless, both genetic and environmental components are being explored in this unique population.

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 score0.053
Threshold uncertainty score0.975

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 head0.012
GPT teacher head0.268
Teacher spread0.256 · 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

Citations22
Published2004
Admission routes2
Has abstractyes

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