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Record W4207027903 · doi:10.1093/ecco-jcc/jjab232.108

DOP69 Long-term outcome of infantile and very early onset IBD: A multi-center study from the IBD Porto group of ESPGHAN

2022· article· en· W4207027903 on OpenAlexaff
Anat Guz Mark, Marina Aloi, Luca Scarallo, Matteo Bramuzzo, Johanna C. Escher, Patrizia Alvisi, Paul Henderson, Iva Hojsak, Raffi Lev‐Tzion, Tobias Schwerd, B Weiß, M. Sładek, Caterina Strisciuglio, Katalin Eszter Müller, Christine Olbjørn, Christos Tzivinikos, Anat Yerushalmy‐Feler, Antoine Christiaens, Lorenzo Norsa, Irene Viola, Lissy de Ridder, Dror S. Shouval, Sara Lega, Paolo Lionetti, Giulia Catassi, Amit Assa

Bibliographic record

VenueJournal of Crohn s and Colitis · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicinePancolitisInflammatory bowel diseaseInternal medicineUlcerative colitisCohortPediatricsSingle CenterGastroenterologyDiseaseRetrospective cohort studyCrohn's diseaseColorectal cancerColonoscopyCancer

Abstract

fetched live from OpenAlex

Abstract Background Very early-onset inflammatory bowel disease (VEOIBD) is diagnosed before the age of 6 years while infantile IBD occurs before the age of 2 years. We aimed to assess disease characteristics and long-term outcomes in these populations. Methods We conducted a retrospective longitudinal cohort study in 21 pediatric centers worldwide. Patients diagnosed with VEOIBD between the years 2008–2018 with at least 2 years of follow-up were included. Results The cohort included 243 patients (52% males), with median follow-up of 5.8 (IQR 3.2–8.4) years. Median age at diagnosis was 3.3 (IQR 1.8–4.5) years, with 69 (28%) diagnosed before the age of 2 years. Disease was classified as Crohn’s disease (CD), ulcerative colitis (UC) and IBD-unclassified (IBDU) in 30%, 59% and 11%, respectively. In patients with UC or IBDU, 75% presented with pancolitis. In patients with CD, 62% presented with isolated colonic disease and 32% with ileo-colonic disease, while 19% had perianal involvement. Genetic testing was performed in 96 (40%) patients [40 (58%) <2 years, 56 (32%) 2–6 years, p=0.001], with monogenic diagnosis identified in 23% (33% and 16%, respectively, p=0.08). The most common findings were mutations in IL10-receptor (5 cases, 23%). Stricturing or penetrating disease was observed in 9 cases (4%). First induction therapies were corticosteroids, 5-aminosalicylic acid (5ASA) and nutritional therapy in 53%, 30% and 11%, respectively. Corticosteroids were more common as first induction in infantile vs. non-infantile IBD (64% vs. 49% respectively, p=0.003). Maintenance therapies included deep immune-suppression (mainly biologics and corticosteroids) in 51%, immunomodulators in 27%, and non-immunosuppressive agents (5-ASA, nutritional therapy and antibiotics) in 22% of patients, with no significant differences between age groups. Compared to patients diagnosed after 2 years of age, patients with infantile IBD presented with higher rates of IBDU, lower levels of hemoglobin and albumin and higher levels of CRP, lower weight (but not height) z-scores, had lower rates of response to first induction therapy and shorter time to hospitalization during follow-up (p<0.05 for all). Colectomy was performed in 11% and diversion surgery in 4% of the cohort, with no significant differences between age groups. No malignancies and nor deaths were observed. At end of follow-up, 85% of patients were in corticosteroid free clinical remission. Conclusion Patients with VEOIBD, including infantile IBD, have fair long-term outcome with low rates of complications and surgical interventions. Nevertheless, patients with infantile IBD demonstrated more severe clinical features at presentation and a lower response to induction therapy.

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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.258
Teacher spread0.247 · 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
Published2022
Admission routes1
Has abstractyes

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