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Record W3213173702 · doi:10.1093/ibd/izab214

The Use of Fecal Calprotectin and Intestinal Ultrasound in the Evaluation and Management of Stricturing Crohn’s Disease in Pregnancy

2021· article· en· W3213173702 on OpenAlexaboutno aff
Ralley Prentice, Emily K. Wright, Emma Flanagan, Alyson L Ross, Sally Bell

Bibliographic record

VenueInflammatory Bowel Diseases · 2021
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePregnancyCalprotectinCrohn's diseaseAbdominal painInternal medicineDiseaseHyperemesis gravidarumGastroenterologyVomitingGestationMesalazineObstetricsInflammatory bowel disease

Abstract

fetched live from OpenAlex

To the Editors, Intestinal strictures affect over 30% of individuals with Crohn’s disease (CD),1 with the peak age of onset of CD overlapping with childbearing years. Distinguishing CD strictures that will respond to medical therapy and those that will not is challenging. In pregnancy, instituting medical therapy is further complicated by high levels of patient anxiety regarding medications, and surgery for symptomatic strictures is a confronting and high-risk prospect.2 Herein, we discuss our diagnostic approach to and management of stricturing CD in pregnancy with reference to clinical case examples. A 33-year-old gestation 4, para 2 with Montreal classification A1L1B2 Crohn’s Disease (CD) on oral 5-aminosalicylic acid (5-ASA) presented at 11 weeks’ gestational age with abdominal pain and vomiting. Her previous pregnancies were complicated by hyperemesis gravidarum (HG), to which her recent symptoms were attributed. Her fecal calprotectin (FC) was 24 ug/g. A magnetic resonance elastography (MRE) performed...

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.044
GPT teacher head0.308
Teacher spread0.264 · 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".

Quick stats

Citations11
Published2021
Admission routes1
Has abstractyes

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