Paradoxical Trends in Hospitalization Rates for the Inflammatory Bowel Diseases Between the Western World and Newly Industrialized Countries: A Study of the Organization for Economic Cooperation and Development (OECD)
Notice bibliographique
Résumé
Introduction: Hospitalization rates for the inflammatory bowel diseases (IBD) may be decreasing in the Western world due to advances in medical management. In contrast, newly industrialized countries in Asia and Southern America may have increasing hospitalization rates due to rapidly rising incidence. We evaluated changing rates in hospitalization for IBD in countries belonging to the Organisation for Economic Co-operation and Development (OECD). Methods: The OECD database contained IBD related hospital discharges for 34 countries from 1990 to 2015. Hospitalization rates were expressed as annual rates per 100,000 persons. Average hospitalization rates were standardized for the period 2010 to 2014. Joinpoint regression models were used to calculate the average annual percent change (AAPC) in the rate of hospitalization for each country in 1990 to 2015. Choropleth maps were created to display the differences in hospitalization rates and AAPCs. Results: Hospitalization rates related to IBD from OECD countries are presented in Table 1 and Figure 1. The median hospitalization rate was 31.2 with an interquartile range (IQR) of 23.7 to 47.4 per 100,000. Average hospitalization rates from 2010 to 2014 were highest in Northern America (e.g. US: 33.9 per 100,000), Northern Europe (e.g. Denmark: 63.6 per 100,000), Eastern Europe (e.g. Hungary: 50.4 per 100,000), Western Europe (e.g. Austria: 73.0 per 100,000), and Oceania (e.g. Australia: 31.2 per 100,000). In Europe, Northern America, and Oceania, 50% of countries have decreasing or stable hospitalization rates (Table 1, Figure 1-3). In contrast, countries from Asia and Southern America have the lowest hospitalization rates, yet the highest rise in AAPC. For example, Turkey has a hospitalization rate of 10.0 per 100,000 and an AAPC of 9.2% (95% CI: 5.9, 12.5), while Chile has a hospitalization rate of 8.4 per 100,000 and an AAPC of 5.2% (95% CI: 4.3, 6.2) (Table 1, Figure 1-3).Figure: Global map of the average hospitalization rates for IBD from 2010 to 2014 in 34 Organization for Economic Co-Operation and Development countries, stratified by quartile.Figure: Global map of the average annual percent change in hospitalization rates for IBD in 32 Organization for Economic Co-Operation and Development countries from time periods ranging between 1990 and 2015, stratified by quartile.Table: Table. Trends in hospital discharges for Crohn's disease and ulcerative colitis in OECD countriesConclusion: Highly industrialized countries of the Western world have high rates of hospitalization; however, the rate of hospitalization appears to be stabilizing or decreasing in many Western countries. In contrast, newly industrialized countries in Asia and Southern America have rapidly rising hospitalization rates, which parallel the known rise in incidence of IBD outside the Western world.
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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».