P104 THE INCIDENCE OF INFLAMMATORY BOWEL DISEASE: ANALYZING HISTORICAL TRENDS TO PREDICT THE FUTURE
Notice bibliographique
Résumé
Incidence of Inflammatory Bowel Disease (IBD)—Crohn’s Disease (CD) and ulcerative colitis (UC)—is decreasing in some provinces, but increasing in pediatrics. Even with this decrease in incidence, prevalence will continue to rise until incidence equals to mortality. Decision makers require accurate data on the current and future burden of IBD for resource planning to ensure IBD patients receive proper care. 1) To assess current trends in IBD incidence and forecast future trends; 2) to determine the mortality rate of IBD; and, 3) to calculate the threshold that incidence would need to approximate mortality in order to stabilize the prevalence of Crohn’s disease (CD) and ulcerative colitis (UC). Using population-based data from Alberta (AB), per year incidence is calculated from 2010 to 2015 with an eight-year washout period, stratified by pediatric (<18), adult (18-64), and elderly (65+). Incidence is calculated for CD and UC separately, as well as for total IBD, which includes IBD type unclassifiable. Data is standardized based on annual Canadian age and sex distributions from Statistics Canada. Poisson regression (or negative binomial regression, when appropriate) is used to analyze historical trends and calculate average annual percentage change (AAPC) with 95% confidence intervals (CI). Log-linear models are used to forecast incidence to 2030 with 95% prediction intervals (PI). Overall standardized mortality ratios (SMR) with 95% CI are calculated for IBD, CD, and UC from 2010 to 2015—as compared to the Canadian population. The incidence threshold is calculated to determine an incidence rate that approximates mortality, which would stabilize the prevalence of IBD. Age-stratified IBD, CD and UC incidence with AAPC are provided in Table 1. The incidence of IBD in Alberta is 27.8 per 100,000 in 2015.The overall IBD incidence is stable from 2010 to 2015 (AAPC= −2.00, 95%CI: −4.15, 0.20) (Table 1). However, the subtype-specific incidence of IBD in adults is decreasing for both CD (AAPC = −5.50; 95%CI: −7.71, −3.23) and UC (AAPC = −4.78; 95%CI: −8.57, −0.84). Figure 1 illustrates the historical and forecasted incidence of IBD, CD, and UC. The SMR is 1.41 (95%CI: 1.34, 1.48) for IBD, 1.48 (95%CI: 1.38, 1.59) for CD, and 1.20 (95%CI: 1.09, 1.31) for UC. The threshold whereby incidence approximates mortality such that it would stabilize the prevalence of IBD is 7.82 per 100,000. Based on our forecasting models, the incidence of IBD (21.63 per 100,000; 95%PI: 10.85, 32.41) exceeds this threshold in 2030. The 2030 forecasted incidence (21.6 per 100,000 persons) exceeds the threshold required to reduce the prevalence of IBD. Future interventional research focused on prevention is urgently required to mitigate the rising burden of IBD. Incidence and Average Annual Percentage Change of IBD, CD, and UC stratified by age Historical incidence (per 100,000 persons) and average annual percentage change (AAPC)—with associated 95% confidence interval (CI)—for Inflammatory Bowel Disease, Crohn’s disease, and ulcerative colitis stratified by all, pediatric (<18), adult (18-64), and elderly (65+). Figure 1: Historical and forecasted incidence (per 100,000 persons) of Inflammatory Bowel Disease, Crohn’s disease, and ulcerative colitis. Historical data is from 2010 to 2015 and forecasted from 2016 to 2030, with 95% prediction intervals represented by shaded area around forecasted incidence (dashed line).
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 | 0,002 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,006 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,002 |
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 ».