IDENTIFICATION OF DISEASE SEVERITY DEFINITIONS FOR ULCERATIVE COLITIS AND CROHN’S DISEASE
Notice bibliographique
Résumé
Abstract BACKGROUND Evidence suggests that, in patients with ulcerative colitis (UC) or Crohn’s disease (CD), those with moderate disease may achieve better outcomes with vedolizumab than those with severe disease. However, no consensus definition of moderate disease exists for UC or CD, as confirmed by a comprehensive literature review published in 2016.1 We aimed to identify definitions of disease severity for UC and CD in studies published since the approval of vedolizumab. METHODS The first stage of the research comprised a systematic literature review (SLR) that complied with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 statement and was registered prospectively with PROSPERO (CRD42023427948). Literature searches were conducted in Embase, MEDLINE, and the Cochrane Library databases on May 16, 2023 to identify publications from 2015 onwards. Title and abstract screening, followed by full-text review was undertaken by two blinded reviewers, with discrepancies resolved by a third reviewer. Data on disease severity indices and thresholds used to define mild, moderate, and/or severe disease were extracted from eligible primary publications. RESULTS Data were extracted from 119 eligible publications (Figure 1), of which 109 related to UC only, 7 to CD only, and 3 to both UC and CD. For UC, the most common disease severity index was Truelove and Witts’ criteria (N = 82), followed by Mayo score or one of its derivatives such as partial Mayo score or Mayo sub-score (N = 29), Lichtiger index (N = 9), Montreal classification (N = 4), Rachmilewitz score (N = 3), and Oxford criteria (N = 3). The definitions identified for mild and moderate disease were similar across studies; however, numerical thresholds used to define moderate and severe disease with Mayo score, partial Mayo score, and Lichtiger index overlapped (Figure 2). For CD, the Crohn’s Disease Activity Index (CDAI) (N = 6) was the most commonly used disease severity index, followed by the Harvey–Bradshaw index (HBI) (N = 2). Moderate disease was defined as a CDAI score of 200–450 or 220–450 or a HBI score of 8–16. CONCLUSION For UC, the thresholds used to define moderate disease were similar across studies but overlapped with those used for severe disease in some cases. Too few CD publications were identified to draw robust conclusions, likely due to the exclusion of those describing patients with mild-to-moderate or moderate-to-severe disease without further stratification in the title or abstract. A targeted literature review of publications reporting phase 3 clinical trials of drugs for UC or CD is ongoing; the thresholds of all measurements used to stratify the patient cohorts in these trials will be extracted to further understand the characteristics of patients with moderate disease. 1. Peyrin-Biroulet L, et al. Clin Gastroenterol Hepatol. 2016;14(3):348-354.e17. Figure 1 PRISMA flow diagram. Figure 2 Numerical ranges used to define mild, moderate, and severe disease for UC.
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 | 0,027 | 0,071 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,007 | 0,010 |
| Bibliométrie | 0,033 | 0,023 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
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 ».