Ulcerative Colitis in Sub-Saharan Africa: Analysis of 24 Cases in Dakar (Senegal)
Bibliographic record
Abstract
Introduction: The aim of our study was to determine the socio-demographic, diagnostic and therapeutic aspects of ulcerative colitis (UC) in one of the largest gastroenterology departments in Senegal. Patients and Method: This was a retrospective and descriptive study based on the analysis of the records of patients hospitalized in the Hepato-Gastroenterology Department of the Grand Yoff General Hospital (Dakar, Senegal) between January 2013 and December 2019. All cases of UC were collected. Clinical, biological, endoscopic and histological data were collected, as well as treatment options. Results: We observed 24 cases, representing a prevalence of 0.87% of inpatients. The mean age of patients was 36 (ranged 18 to 73) and sex ratio 0.9 (13 females). The mean diagnostic delay was 1.6 years (ranged 4 months to 5 years). The clinical symptomatology was dominated by diarrhea with blood and mucus (18 cases). The Litchiger score on admission averaged 8 and 5 patients (20.8%) had severe acute colitis. Colonoscopy showed pancolonic involvement (Montreal E3) in 11 cases (45.8%) and severe endoscopic lesions (stage 3 of the Mayo endoscopic subscore) in 10 cases (41.6%). Therapeutically, 17 patients (70.8%) were initially treated with corticosteroids. Background therapy was 5-ASA in 17 patients (70.8%) and azathioprine in 7 patients (29.2%). Two cases of death (8.3%) were observed following colectasia with colonic perforations before emergency surgery could be performed. Conclusion: UC in our study was primarily among young adults with a slight female predominance. Diagnosis is often late. The lack of biotherapy requires close collaboration with surgeons for the management of severe forms.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".