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Record W3008177650 · doi:10.1093/jcag/gwz047.061

A62 CANADIAN POPULATION-BASED EVALUATION OF THE NATURAL HISTORY OF PRIMARY BILIARY CHOLANGITIS OVER THE LAST DECADE

2020· article· en· W3008177650 on OpenAlexaffabout
Hassan Azhari, Mark G. Swain, A M Shaheen

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2020
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicinePoisson regressionPrimary biliary cirrhosisEpidemiologyIncidence (geometry)PopulationDemographyInternal medicineRate ratioProportional hazards modelEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Background Few studies have evaluated the epidemiology of primary biliary cirrhosis (PBC) in North America. Ursodeoxycholic acid (URSO) improves outcomes amongst PBC patients. Aims Therefore, we undertook this study to determine the epidemiology of PBC in Canada, and impact of URSO on clinical outcomes, two decades after URSO approval in North America. Methods We used our previously validated coding algorithm to identify PBC patients in population based administrative databases in the Calgary Health Zone (population ~1.5 million) from 2005–2015. Multiple sources of data including inpatient, ambulatory, physician billing, laboratory, and pharmaceutical were linked. Annual prevalence and incidence were estimated using Poisson regression. Age/sex adjusted rate ratios were calculated. We used Cox regression models to estimate: all-cause mortality, liver transplant and decompensated cirrhosis free survival. In our models, we adjusted for demographic and clinical variables including response to URSO. Results During the study period over 11 years, the overall annual age/sex adjusted PBC incidence was 29.5 cases per million (48.3 and 9.9 per million for women and men, respectively). The highest incidence rate was observed among women aged 60–79 (90.9 per million) with an incidence rate ratio of 10.4 (95%: 6.83–15.9) compared to those aged 20–39. While incidence rate remained stable, prevalence rate increased significantly from 242 to 343 cases/ million, between 2005 and 2015 (P<0.01). Prevalence rate was highest at 965 cases/ million amongst women aged 60–79. We identified 299 incident PBC cases with a median follow up of 5.1 years (IQR 2.9–8.3). 87 (29.1%) of these incident cases developed decompensated cirrhosis or HCC, 10 patients (3.4%) underwent liver transplantation, and 44 (14.7%) patients died. The annual mortality rate was 2.9% (95%CI: 2.1- 3.8) compared to 3.4% (2.3–4.9%) a decade ago (P=0.04). The estimated 5-year survival rate was 87.6% (82.6- 91.3). Standardized mortality rate was 3.2 (95%CI: 2.2–4.1). Overall, 25% of our incident cohort were not prescribed URSO. Patients not prescribed URSO were more likely to be male, older age, have normal ALP and had decompensated cirrhosis at diagnosis (P<0.01 for all). Among those who used URSO, response rate was 86%. Response to URSO was an independent predictor of reduced risk of decompensated cirrhosis and liver transplant, and higher survival (aHR: 0.46, 0.29–0.74). Conclusions PBC prevalence is increasing in this North American population. While mortality rate decreases in our PBC cohort, survival was suboptimal compared to the general population, mainly due to late presentation at diagnosis. Therefore, better surveillance and early detection of possible PBC patients in the primary care setting are essential to improve PBC outcomes. Funding Agencies 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)0.003
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 score0.024
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.007
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.238
Teacher spread0.223 · 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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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