P1263 Real-World Evidence Needs for Treatment Sequence Disease Modelling in Refractory Inflammatory Bowel Disease
Notice bibliographique
Résumé
Abstract Background Sequential use of biologics in Inflammatory Bowel Disease (IBD) is often required in clinical practice to restore or maintain long-term remission. Health technology agencies are requiring treatment sequencing models which are more reflective of clinical practice. The accurate modelling of treatment sequences would help better understand expected patient benefit and make more informed decisions. The aim of our targeted literature review (TLR) was to identify real-world evidence (RWE) on the effectiveness of second-line or later treatments for Crohn’s disease (CD) or ulcerative colitis (UC) refractory to initial therapy and assess its suitability for treatment sequence modelling. Methods We identified observational studies from Europe, the United States (US), and Canada via EMBASE, MEDLINE, and MEDLINE-In-Process (searched from 01/01/2018 to 11/12/2023). Study selection was conducted by a senior researcher and quality was checked by a second one. Evidence was analysed to assess the availability of clinical remission and response, and steroid-free remission data by line of therapy and across various time points. We then conducted a gap analysis against the evidence needs of a treatment sequence model Results After screening a total of 145 publications were included for data extraction in the review: 61 in ulcerative colitis (UC), 50 in Crohn’s disease (CD), and 34 in combined IBD. Studies were predominantly conducted in Europe (n=95), followed by the US (n=26), and Canada (n=3). A total of 12 studies reported clinical remission for first line, four for second line, and two each for third and fourth lines of treatments of refractory patients with UC. Additionally, eight studies reported data for first line, seven for second line, eight for third line, three for fourth line, and two for fifth line treatments of refractory patients with CD. The remaining studies combined results for multiple lines of treatment. Clinical remission during maintenance for patients with CD ranged between 47% - 79%, 38% - 87%, 28% - 68%, and 16% - 63%, for first, second, third, and fourth line, respectively and 40%-67%, 35% - 77%, 41% - 47%, and 16% - 21% for patients with UC. Studies lacked granularity in the assessment of clinical remission and response specific to individual treatments, stratified by specific treatment failure history Conclusion Studies identified in our evidence review did not report sufficiently granular data on clinical response or remission to reliably inform a treatment sequence model. Addressing these data gaps is essential for enabling more reliable decision-making in clinical practice, supporting better resource allocation, and ultimately improving long-term outcomes for refractory patients with IBD.
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 | 0,101 | 0,396 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,011 |
| Bibliométrie | 0,013 | 0,011 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,008 | 0,006 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 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 ».