The Role of Bowel Ultrasound in Detecting Subclinical Inflammation in Pregnant Women with Crohn’s Disease
Bibliographic record
Abstract
BACKGROUND AND AIMS: Maintaining disease remission improves outcomes for pregnant women with Crohn's disease (CD). As symptoms may correlate poorly with disease activity in the gravid state, we investigated the utility of bowel sonography during pregnancy to assess disease activity. METHODS: We conducted a prospective observational cohort study of pregnant women with CD undergoing bowel sonography between July 1, 2012, and December 1, 2016. Clinically active disease was defined using standardized clinical indices (Harvey Bradshaw Index >4 for active disease). Sonographic findings were graded as inactive (normal, mild) or active (moderate, severe) by expert radiologists. RESULTS: There were 91 pregnancies in 82 CD patients. Symptoms were present in 12 pregnancies; however, eight (67%) had sonographic findings of inactive disease, and escalation of therapy was not initiated. Conversely, sonographically active disease in seven asymptomatic pregnancies resulted in four women escalating therapy. The remaining three women declined escalation of therapy, one had a miscarriage, and the other two women had persistently active disease on sonography and endoscopy at one-year postpartum. CONCLUSIONS: Bowel ultrasound may detect subclinical inflammation in asymptomatic pregnant women with CD and stratify CD activity in symptomatic patients. Therefore, bowel sonography should be considered as a useful adjunct for the assessment of the pregnant woman with Crohn's disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".