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Record W4210796270 · doi:10.1093/ecco-jcc/jjab232.387

P260 Autoimmune pancreatitis in patients with Inflammatory Bowel Disease: results from a multicentre ECCO CONFER cases series

2022· article· en· W4210796270 on OpenAlexaff
P M Eder, Bram Verstock, Emma Culver, Gabriele Dragoni, Lea I. Kredel, Ana García García de Paredes, Magdalena Kaniewska, Haim Leibovitzh, Grzegorz Oracz, Davide Giuseppe Ribaldone, Joanna Wypych, Abdenor Badaoui, J F Rahier, Cristina Bezzio, Peter Bossuyt, Katherine Falloon, Catherine Vozzo, Tine Jess, Lone Larsen, Teresa Starzyñska, María Chaparro, Dikla Dror, Pierre Ellul, Iga Gromny, Katarzyna Maciejewska, Noam Peleg, Ariella Bar‐Gil Shitrit, Ł Szwed, Renata Talar‐Wojnarowska, Yifat Snir, Eran Zittan, Idan Goren

Bibliographic record

VenueJournal of Crohn s and Colitis · 2022
Typearticle
Languageen
FieldMedicine
TopicIgG4-Related and Inflammatory Diseases
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineAutoimmune pancreatitisUlcerative colitisInflammatory bowel diseaseInfliximabCrohn's diseaseInternal medicineCohortRetrospective cohort studyDiseaseMagnetic resonance imagingPouchitisGastroenterologyRadiology

Abstract

fetched live from OpenAlex

Abstract Background Autoimmune pancreatitis (AIP) is an uncommon inflammatory disorder that may accompany inflammatory bowel disease (IBD). The clinical relevance of AIP-IBD coexistence, therapeutic strategies, and long-term outcomes are scarcely known. Methods In this ECCO COllaborative Network For Exceptionally Rare case reports project (ECCO-CONFER) we included cases of AIP diagnosed in patients with IBD. Data on the diagnostic criteria, clinical characteristics, and patient outcomes were retrospectively collected and analysed. Results The cohort included 82 patients [54% males, 77% with ulcerative colitis (UC), age at IBD and AIP diagnosis 32±16 and 35±16 years, respectively]. Of all AIP patients, 71% were classified as type 2, 21% as type 1, and 8% as undefined type. Detailed characteristics of the study group are shown in Table 1. In 57% of the individuals, IBD was diagnosed before AIP. In the remaining cases, IBD was diagnosed simultaneously (20%) or afterwards (23%). Half of the patients required immunomodulators and 43% biological therapy to control their IBD. Twenty-two percent of UC and 6% of Crohn’s disease (CD) required surgical intervention during a mean follow-up of 3.6±3.4 years. Histological confirmation was used in 38% of cases, while the remaining were diagnosed as probable AIP based on clinical, biochemical, and radiologic criteria. Magnetic resonance was the most frequently used imaging modality (61%). Eighty percent of patients received steroids for AIP. Thiopurines were used for AIP in 16 (19%) patients, 81% of them responded to treatment. One patient was successfully treated for AIP with infliximab. AIP complications occurred in 27%, including pancreatic exocrine insufficiency (19%) and diabetes (13%). Five patients underwent surgery due to suspected pancreatic cancer. Patients with complicated AIP were significantly older at AIP and IBD diagnosis, were more frequently males and presented with weight loss at AIP diagnosis, and had less frequently a family history of IBD (Table 1). Colonic IBD (i.e. UC, isolated colonic IBD-unclassified or colonic CD) was seen in a higher proportion of individuals with complicated vs benign AIP course (91% vs 33%, p<0.0001). At the end of follow-up, 75 (91%) and 73 (89%) patients were in remission of AIP and IBD, respectively. No IBD or AIP-related deaths were reported. Conclusion In this large international cohort of patients with concomitant AIP-IBD, most patients have type 2 AIP and colonic IBD. AIP course is relatively benign, and long-term outcomes are favourable. Older age, male gender, isolated colonic IBD location, and weight loss at AIP presentation were seen in higher proportions of patients with a complicated course of AIP.

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 score0.064
Threshold uncertainty score0.574

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)0.0000.000

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 head0.005
GPT teacher head0.204
Teacher spread0.199 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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