S1983 Prevalence, Etiology, and Outcomes of Microscopic Colitis: A Retrospective Single-Centre Cohort Study
Notice bibliographique
Résumé
Introduction: Microscopic Colitis (MC) is an inflammatory disease of the colon that commonly presents with non-bloody watery diarrhea, weight loss, and nocturnal stools. It has a high prevalence in older females affecting 1 in 115 women during their lifetime. The exact etiology of MC is not well understood but it is believed to involve a combination of genetic, environmental, and immune factors. Endoscopically, it presents with normal-appearing colonic mucosa, although erythema with or without edema may also be observed. However, the diagnosis is made on colon biopsies. There are 2 subtypes of MC, lymphocytic colitis (LC) which consists of lymphocytic inflammation of the lamina propria, and intraepithelial lymphocytosis, or collagenous colitis (CC) which consists of subepithelial collagen band thickening. We aim to create a database of patients in Manitoba with MC based on histological diagnosis. Methods: A retrospective review of pathology reports of patients undergoing a colonoscopy from 2006-2018 within the Winnipeg health region. Results: 914 patients (9.7%) were identified with MC from the initial 9377 pathology reports that were screened. 490 (53.6%) patients had CC, of whom 79 (16.1%) were males and 411 (83.8%) were females. The mean age at diagnosis was 62.9 ± 12.4 years old (range 28-90) for males and 61.8 ± 13.3 years old (range 20-91) for females. In contrast, 409 (44.7%) patients had LC, of whom 94 (22.9%) were males and 315 (77.0%) were females. The mean age at diagnosis of LC was 61.9 ± 17.2 years old (range 23-90) for males and 59.2 ± 13.7 years old (range 18-91) for females. Fifteen (1.6%) patients had an unspecified diagnosis on their pathology report. Seventy-four people had more than one colonoscopy during the study period. Finally, there was a signal of an increase in the incidence of both subtypes in recent years. In males, there was a trend towards a higher incidence of LC (R² = 0.60) in recent years vs a higher incidence of CC in females (R² = 0.82). Initial data shows that 31.1% used a PPI (most commonly omeprazole) and 23.8% were on a Selective Serotonin Reuptake Inhibitors (SSRI). 1.4% had celiac disease and 1.9% had a proceeding CDI pre-MC diagnosis compared to 2.7% post. Conclusion: There was a strong female predominance, albeit comparable age at diagnosis, in both MC subtypes with a trend towards increased incidence in recent years. A higher prevalence of CC was noted especially in middle-aged years. Finally, there was a high correlation between PPI and SSRI use and new cases.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».