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Record W2999926506 · doi:10.1159/000502886

Update on the Management of Inflammatory Bowel Disease during Pregnancy and Breastfeeding

2020· review· en· W2999926506 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDigestion · 2020
Typereview
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsBreastfeedingMedicinePregnancyInflammatory bowel diseaseDiseaseHealth careFamily medicineIntensive care medicineHealth professionalsPostpartum periodObstetricsPediatricsInternal medicine

Abstract

fetched live from OpenAlex

Inflammatory bowel disease (IBD) affects patients during their peak reproductive years. This raises important questions, in both patients and healthcare providers, regarding conception, pregnancy, and breastfeeding. Lack of information and insufficient communication among healthcare providers can leave patients with limited information and even contradictory advice. Given the fact that pregnant and/or breastfeeding IBD patients are excluded from clinical studies the evidence on many questions related to pregnancy and postpartum period is limited. However, there exists increasing data from case series and cohort studies that allows to provide clinical guidance. The overarching concept is that optimizing the mother's health is critical for optimizing the health of the unborn child and benefit of continuing medical therapy in IBD during pregnancy outweighs possible risks in most instances. This paper provides an up-to-date systematic review of the literature on IBD in pregnancy and proposes guidance to questions frequently encountered by healthcare professionals.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.937
Threshold uncertainty score0.491

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 head0.027
GPT teacher head0.298
Teacher spread0.271 · 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