MétaCan
Menu
Back to cohort
Record W4404885936 · doi:10.1016/j.jhepr.2024.101272

Primary sclerosing cholangitis–inflammatory bowel disease: Epidemiology, mortality, and impact of diagnostic sequence

2024· article· en· W4404885936 on OpenAlexafffundabout
Kristel Leung, Wen‐Bin Li, Bettina E. Hansen, Aliya Gulamhusein, Lauren Lapointe‐Shaw, Abdel Aziz Shaheen, Amanda Ricciuto, Eric I. Benchimol, Jennifer A. Flemming, Gideon M. Hirschfield

Bibliographic record

VenueJHEP Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsUniversity of CalgarySickKids FoundationUniversity of TorontoToronto General HospitalQueen's UniversityWomen's College HospitalPublic Health Ontario
FundersUniversity Health Network FoundationCanadian Institutes of Health ResearchPSC Partners Seeking a Cure
KeywordsPrimary sclerosing cholangitisInflammatory bowel diseaseEpidemiologyMedicineSequence (biology)DiseaseInternal medicineGastroenterologyBiology

Abstract

fetched live from OpenAlex

Background & Aims: Primary sclerosing cholangitis (PSC) carries significant morbidity and mortality compared with inflammatory bowel disease (IBD). We characterized epidemiology trends and outcomes in those with PSC-IBD and IBD, paying particular attention to the impact of PSC-IBD diagnostic sequence on outcomes. Methods: Incidence and prevalence of PSC-IBD and IBD (2002-2018) were evaluated using validated health administrative data-derived cohorts from Ontario, Canada (population ∼15 million). Transplant and death outcomes were assessed, with PSC-IBD diagnostic sequence as the exposure of interest. Results: Incidence of PSC-IBD and IBD was 0.46 and 24.6/100,000 person-years (PYs) respectively, whereas prevalence was 5.53 and 588/100,000 PY respectively. Incidence/prevalence of PSC-IBD increased over time, unlike for IBD. Age at IBD diagnosis was earlier among those with PSC-IBD compared with those with IBD alone. Higher socioeconomic status associated with high PSC-IBD incidence rates and fastest incidence rise. Those diagnosed with IBD before PSC had higher risk of transplant/death compared with PSC before IBD (hazard ratio [HR] 1.34, 95% CI 1.02-1.75), driven by an increased risk of death (HR 2.73, 95% CI 1.68-4.45). PSC-IBD had a 4.5-fold greater risk of transplant/death compared with IBD alone. Liver-related and luminal gastrointestinal disease, particularly hepatopancreatobiliary malignancy, were predominant causes of death among those with PSC-IBD, while cardiovascular and respiratory diseases were predominant among those with IBD. Conclusions: Population-level data support distinct epidemiological patterns among people living with PSC-IBD compared with IBD, including a higher socioeconomic status and worse outcomes in those found to have IBD before PSC. Impact and implications: Individuals with primary sclerosing cholangitis (PSC) face increased morbidity and mortality compared with the general population and those with inflammatory bowel disease (IBD); yet, most individuals with PSC are found to have concomitant IBD during their lifetime. This study describes the distinctive epidemiological differences and mortality trends at the population level between PSC-IBD and IBD. While PSC-IBD remains a rare condition, diagnoses are on the rise (particularly among higher socioeconomic status populations), with most patients being diagnosed with IBD before PSC; this group also experienced higher mortality post-PSC diagnosis compared with those diagnosed with PSC first, with a large proportion of deaths caused by liver- and gut-related causes. Practical applications of these findings include further studies to evaluate whether earlier identification of PSC-IBD affects disease outcomes, as well as educating patients, clinicians, and policymakers on the importance of recognizing PSC-IBD as a distinct entity from IBD alone.

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)0.002
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 score0.022
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.071
GPT teacher head0.369
Teacher spread0.298 · 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

Citations13
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueJHEP ReportsSame topicLiver Diseases and ImmunityFrench-language works237,207