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Record W4413329540 · doi:10.1111/liv.70293

Prevalence of Celiac Disease in Patients With Primary Biliary Cholangitis: A Systematic Review and Meta‐Analysis

2025· review· en· W4413329540 on OpenAlexaff
Fabiana Zingone, Cristina Canova, Fahim Ebrahimi, Nora Cazzagon, Isabella Rosato, Jonas F. Ludvigsson

Bibliographic record

VenueLiver International · 2025
Typereview
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsColumbia College
Fundersnot available
KeywordsMedicineGastroenterologyInternal medicineMeta-analysisDiseasePrimary sclerosing cholangitisBiliary disease

Abstract

fetched live from OpenAlex

Celiac disease (CeD) has been linked to both autoimmunity and chronic liver disease, but most data on the link to primary biliary cholangitis (PBC) originate from small studies and have yielded conflicting results. A systematic search was performed in the databases of Medline, Embase, Cochrane and Web of Science Core Collection for studies published between 1990 and 2024, using search terms related to CeD, gluten and PBC. The search identified 2016 publications, of which 94 were read in full text. Of these, a total of 25 studies were included in this review, with 22 deemed relevant for meta-analysis. We applied a random effects model to estimate the weighted pooled prevalence along with corresponding 95% confidence intervals (CIs). Results were reported in accordance with the PRISMA guidelines. Our main analysis contained 15 006 individuals with PBC from 22 studies. Among these, 286 (1.9%; 286/15174) had a CeD diagnosis yielding a pooled prevalence of 1.71% (95% CI: 1.08-2.44). When restricting the analysis to 15 studies with biopsy-confirmed CeD, the pooled prevalence was 1.53% (95% CI: 0.51-2.91). This prevalence is comparable to the serology-based prevalence of CeD, of around 1%, in the general population. Our findings suggest that the prevalence of CeD in PBC is similar to that observed in the general population. These findings do not support routine screening for CeD in individuals with PBC.

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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.677
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
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 head0.022
GPT teacher head0.320
Teacher spread0.299 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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