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Record W4413969866 · doi:10.1136/gutjnl-2025-336402

Global consensus statement on the management of pregnancy in inflammatory bowel disease

2025· article· en· W4413969866 on OpenAlexaff
Uma Mahadevan, Cynthia H. Seow, Edward L. Barnes, María Chaparro, Emma Flanagan, Sonia Friedman, Mette Julsgaard, Sunanda Kane, Siew C. Ng, Joana Torres, Gillian Watermeyer, Jesús K. Yamamoto‐Furusho, Christopher Robinson, Susan Fisher, Phil Anderson, Richard B. Gearry, Dana Duricova, Marla Dubinsky, Millie D. Long

Bibliographic record

VenueGut · 2025
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInflammatory bowel diseaseStatement (logic)PregnancyMedicineCrohn diseaseInflammatory Bowel DiseasesDisease managementDiseaseIntensive care medicineGastroenterologyInternal medicinePolitical scienceBiologyLaw

Abstract

fetched live from OpenAlex

BACKGROUND & AIMS: Pregnancy can be a complex and risk filled event for women with inflammatory bowel disease (IBD). High-quality studies in this population are lacking, with limited data on medications approved to treat IBD during pregnancy. For patients, limited knowledge surrounding pregnancy impacts pregnancy rates, medication adherence, and outcomes. Limited provider knowledge leads to highly varied practices in care affected by local dogma, available resources, individual interpretation of the literature, and fear of harming the fetus. The variations in guidelines by different societies and countries reflect this and lead to confusion for physicians and patients alike. The Global Consensus Consortium is a group of 39 IBD and content experts and 7 patient advocates from 6 continents who convened to review and assess current data and come to an agreement on best practices based on these data. METHODS: The GRADE process was used when sufficient published data were available and the RAND process in those instances where expert opinion was needed to guide consistent practice. Recommendations were informed by the guiding principle that maternal health best supports infant health. RESULTS: The topics were divided into ten categories with 34 GRADE recommendations and 35 Consensus statements. CONCLUSIONS: Overall, the goal of the group was to provide data-driven and practical guidance to improve the care of women with IBD around the globe based on the best available research.

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 score0.492
Threshold uncertainty score0.180

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 head0.017
GPT teacher head0.314
Teacher spread0.297 · 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

Citations5
Published2025
Admission routes1
Has abstractyes

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