A179 PREVALENCE OF CHRONIC DIARRHEA AMONGST PATIENTS FOLLOWED IN GASTROENTEROLOGY
Bibliographic record
Abstract
The prevalence of chronic diarrhea in patients followed in gastroenterology is unknown. To measure the prevalence of chronic diarrhea and assess the clinical characteristics that are associated with chronic diarrhea. Prospective study (October 2016 to February 2017) conducted at the CHUM’s gastroenterology clinic (Centre Hospitalier de l’Université de Montréal). All patients 18 years old or older and capable of giving consent filled an anonymous questionnaire (10 minutes) on demographic characteristics, clinical symptoms and objective criteria of chronic diarrhea. Answers were computerized to facilitate analysis. 268 patients were included in the study (mean age: 48.6 ± 14.4 years old, 62% women, 92% Caucasians). The overall prevalence of chronic diarrhea was 29,5%, but variations were observed between groups of patients with different underlying pathologies. The prevalence was 43% in indeterminate colitis, 41% in irritable bowel syndrome, 38% in Crohn’s disease and 23% in ulcerative colitis. In patients with active inflammatory bowel disease, the prevalence was higher than in inactive disease (43,7 vs 12,3%: p<0.05). Compared to the group without chronic diarrhea, the group with chronic diarrhea had more: 1) fecal incontinence (63 vs 48%; p<0.05), 2) Crohn’s disease (52 vs 35%; p<0.05), 3) ileal resection (29 vs 13%; p<0.05) and 4) partial colectomy (25 vs 8%; p<0.001). The study demonstrates a high prevalence of chronic diarrhea (29%) amongst patients consulting in our gastroenterology clinic. This prevalence remains high in patients with inactive inflammatory bowel disease (12,3%) and is associated with a high prevalence of fecal incontinence (63%). None
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".