Bile acid malabsorption in patients with chronic diarrhea and Crohn�s disease
Bibliographic record
Abstract
INTRODUCTION AND AIM: Crohn's disease (CD) is a form of inflammatory bowel disease and is mainly characterized by diarrhea and abdominal pain. The aim of our study was to analyze the usefulness of performing a 75SeHCAT scan in CD patients with chronic diarrhea and suspected bile acid malabsorption (BAM). In addition, we aimed to determine whether there was a relationship with the clinical features of the disease and a previous bowel resection. PATIENTS AND METHODS: this was an observational cross-sectional study of 39 patients with a diagnosis of CD and chronic diarrhea. All cases underwent a 75SeHCAT scan for BAM diagnosis, after discarding disease activity. RESULTS: the study cohort included 19 females and 20 males. The median age was 44 years and the majority of patients were A2 L1 B1 according to the Montreal classification; 84.6% of patients had undergone a previous bowel resection. BAM was present in 97.4% of patients (100% and 83.3% of patients with and without previous surgery, respectively), which was severe in 92.1% of cases. Treatment with bile acid sequestrants was initiated and a favorable response was obtained in 72.2% of patients. The relationship between BAM degree (moderate or severe), bowel surgery and the response to bile acid sequestrant treatment was also analyzed but not statistically significant. CONCLUSION: BAM is a frequent cause of diarrhea in CD patients in endoscopic or radiological remission. This condition was present in all patients with a history of a bowel resection. A response to bile acid sequestrants treatment was observed in 73% of patients.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".