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Record W4285037992 · doi:10.3138/canlivj-2021-0033

Early predictors of unfavourable outcome in progressive cholestasis of northwestern Quebec

2022· article· en· W4285037992 on OpenAlexaffvenueabout
L Khendek, Candice Diaz, Éric Drouin, Michel Lallier, Fernando Álvarez, Massimiliano Paganelli

Bibliographic record

VenueCanadian Liver Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicPediatric Hepatobiliary Diseases and Treatments
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineCholestasisCirrhosisBilirubinIncidence (geometry)Liver transplantationLiver diseasePediatricsInternal medicineGastroenterologyTransplantation

Abstract

fetched live from OpenAlex

Background: Progressive cholestasis of northwestern Quebec (PCNQ) is a rare and severe form of cirrhosis affecting children from Quebec's First Nations. First described by our group in 1981 and historically named North American Indian childhood cirrhosis, such a condition often requires liver transplantation during the pediatric age. This study aimed at suggesting a more culturally sensitive name for the disease and identifying early prognostic factors for an unfavourable outcome. Methods: = 7). Results: Compared with the no-LT group, LT children developed serious complications with an unusually high incidence of gastrointestinal bleeding. Over the first 12 months from presentation, a greater increase of alanine aminotransferase plasma levels, decrease of total bilirubin, and increase of alanine aminotransferase-to-total bilirubin ratio was observed in the LT group. Bone mineral density was lower in LT children independently of vitamin D levels. Patients with PCNQ showed poorer bone health than age-matched children with other cholestatic disorders. Conclusions: In the name of cultural sensitivity, PCNQ should be the preferred name for this condition. Variation of alanine aminotransferase and total bilirubin plasma levels over the first 12 months from presentation might be used for the early identification of children with PCNQ who are at higher risk of unfavourable outcomes. This might help optimize clinical management to populations that are underserved by health care services.

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)0.000
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 score0.228
Threshold uncertainty score0.848

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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

Citations1
Published2022
Admission routes3
Has abstractyes

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