P-104 SECURE
Notice bibliographique
Résumé
Tumor necrosis factor-alpha antagonists are associated with an increased risk of serious infections and some malignancies. The objective of the SECURE registry is to evaluate these safety outcomes in patients with Crohn's disease (CD) treated with certolizumab pegol (CZP) versus other CD treatments. SECURE is a long-term registry of patients with CD. Patients were enrolled in either the CZP cohort (those who had received CZP for ≤12 months or were about to receive CZP at enrollment) or the comparison cohort (CO; those receiving corticosteroids, immunosuppressants, or non-CZP biologics). The cutoff date for this interim analysis was March 31, 2014. Exposure time for all events, excluding malignancies, took into account treatment switching. Observational time was divided into 4 mutually exclusive categories: CZP cohort (exposure to CZP only); CO cohort (exposure to other CD treatments); Overlap cohort (exposure overlap between CZP and other CD treatments); and Gap cohort (no exposure to any CD treatment). Incidence rates and 95% confidence intervals (CIs) per 100 patient-years were calculated for adverse events of interest. Serious adverse events (SAEs) were summarized as percentages of patients reporting ≥1 SAE per system organ class. Owing to the longer latency, the exposure times for malignancies were calculated differently and reported elsewhere.1 A total of 2453 (1097 CZP; 1356 CO) patients were enrolled; 1464 patients (59.7%) were ongoing and 989 patients (40.3%) had discontinued at cutoff. At enrollment, the mean age of patients was 40.6 years (range, 7.3–88.6); more patients had moderate to severe or severe disease in the CZP versus CO cohort (moderate to severe, 40.7% versus 20.1%; severe, 9.6% versus 2.7%) and the proportion of patients in remission was higher for CO versus CZP (37.6% versus 9.6%). Planned exposure for all patients based on cohort assignment at enrollment was 5868.8 patient-years (2477.7 and 3391.1 patient-years for CZP and CO, respectively). When accounting for treatment switching, actual exposure to CZP only was 601.1 patient-years; 3465.9 patient-years to CO only; 705.1 patient-years to concurrent CZP/CO exposure; and 1096.8 patient-years with a gap in exposure. The incidence rates of serious infections were: CZP only, 0.35 (95% CI, 0.04–1.25); CO only, 0.53 (95% CI, 0.32–0.84); Overlap, 1.33 (95% CI, 0.61–2.53); and Gap, 0.34 (95% CI, 0.07–0.99). The percentage of patients with SAEs was higher in the CZP cohort versus CO versus Overlap versus Gap for metabolism/nutrition disorders (1.2% versus 0.7% versus 0.9% versus 0.6%) and general disorders/administration site conditions (1.0% versus 0.5% versus 0.3% versus 0.8%), but lower for gastrointestinal disorders (7.0% versus 9.4% versus 14.0% versus 6.3%), infections (2.2% versus 4.3% versus 6.4% versus 2.2%), and surgical/medical procedures (1.3% versus 2.2% versus 1.3% versus 1.0%). These interim results showed that the incidence of infections during CZP treatment was similar to that with other CD treatments. Although the number of patient-years at risk in this analysis was relatively small, these data are consistent with the established CZP safety profile.
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 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,477 | 0,249 |
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 ».