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Record W2921507421 · doi:10.1093/jcag/gwz006.197

A198 CYSTIC FIBROSIS LIVER DISEASE IN NEWFOUNDLAND AND LABRADOR: A PREVALENCE STUDY

2019· article· en· W2921507421 on OpenAlexaffabout
Elizabeth Squirell, Joe Lockyer

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineCystic fibrosisCirrhosisLiver diseaseGastroenterologyInternal medicineLiver biopsyLiver enzymeBiopsyPathology

Abstract

fetched live from OpenAlex

Liver disease in patients with cystic fibrosis (CF) is understudied and increasingly common. The prevalence of cystic fibrosis liver disease (CFLD) in Canada is not clearly established, though it is now the third leading cause of death among CF patients. The current literature suggests a broad range in prevalence from 4% to 65%, which implies the need for further research. An overall trend throughout the literature demonstrates that studies that included isolated liver enzyme elevation as prevalent cases had higher rates of CFLD, while older studies and those that relied heavily on examination alone had a lower reported prevalence. Assessment of liver size and liver enzymes comprise the current screening guidelines. Diagnostic criteria include evaluation of the liver via imaging and liver enzyme elevation, as outlined in the methods section. The primary aim of this study was to determine the prevalence of CFLD in adult patients with CF in Newfoundland and Labrador (NL). This was a descriptive cross sectional study of adult patients with CF in NL. Charts were reviewed retrospectively for: 1) hepatomegaly or splenomegaly on imaging, 2) ALT, AST, GGT >1.5x ULN for >6 months, 3) ultrasound showing coarseness, nodularity, portal HTN, or increased echogenicity of the liver, and 4) liver biopsy with cirrhosis. If ≥2 of the above criteria were satisfied, it counted as a case of CFLD. The prevalence of isolated liver enzyme elevation was also determined. Participants were included if they had CF and were being followed by the NL CF clinic in 2018. They were excluded if there were other etiologies of liver disease that were not accounted for by a hepatologist’s workup. Only 57 of the 60 adult patient’s charts were available to review. The population was comprised of 35 men (61.5%) and 22 women (38.5%). Prevalence was the not found to have a statistically significant difference across age groups or gender. The diagnostic guidelines of CFLD were met in 14 cases. This represents a prevalence of 24.6% in the total population; however, 11 patients had not had the requisite imaging performed to assess the diagnostic criteria. Of those patients, 4 (36.4%) had elevated liver enzymes. Among the subset who had imaging, the prevalence of CFLD was 30%. Additionally, 33 patients had isolated liver enzyme elevation (57.9%) In recent years, an increasing body of literature has developed around CFLD. As a result, many CF clinics have increased testing. However, prevalence data is lacking across Canada. This study has attempted to fill this gap by examining the prevalence of CFLD in NL. It was found to be between 25% and 30%, which is in line with the current data. Further imaging may be warranted to assess liver size in the subset of patients who have not yet been screened. Given the paucity of Canadian data, further study would be warranted in this area. None

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.328
Threshold uncertainty score0.660

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.004
GPT teacher head0.200
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes2
Has abstractyes

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