Disease activity early in the course of treatment predicts response to therapy after one year in rheumatoid arthritis patients
Notice bibliographique
Résumé
OBJECTIVE: To assess whether disease activity levels at treatment initiation or during the first 3 months of therapy predict disease activity at 1 year after treatment initiation. METHODS: Pooled patient data from early rheumatoid arthritis (RA) clinical trials (n = 1,342) of methotrexate (MTX), tumor necrosis factor (TNF) inhibitor monotherapy (adalimumab and etanercept), and the combination of the two (adalimumab or infliximab plus MTX) were used for the primary analyses. Pooled data from clinical trials of MTX and of TNF inhibitor plus MTX in late RA (n = 712) were used for validation of the results. Disease activity was primarily assessed using the Simplified Disease Activity Index (SDAI); in addition, we calculated the Disease Activity Score 28-joint assessment (DAS28) and the Clinical Disease Activity Index (CDAI). Associations of disease activity measures at baseline and at 1, 2, 3, and 6 months with disease activity values or disease activity states at 1 year were performed using Spearman's rank correlation, analysis of variance, and diagnostic testing procedures, including receiver operating characteristic (ROC) curve analyses, and probit analysis. RESULTS: Correlations with SDAI values at end point were significant (P < 0.0001) at baseline, and increased to r = approximately 0.6 at 3 months. The area under the ROC curve indicated a high diagnostic test yield with respect to the 1-year outcome (area under the ROC curve approximately 0.8). At all time points, including baseline, the group of patients who achieved remission at 1 year had lower average SDAI values than did those whose disease activity was high at 1 year. The groups achieving low or moderate disease activities at 1 year had SDAI values lying between. Baseline disease activity was less associated with disease activity at the end point for treatment with TNF inhibitor plus MTX, indicating its effectiveness over a broader range of baseline disease activity, but the association with end point disease activity was similar to that in the MTX treatment group at 1 month after treatment initiation. The data were similar when scores on the DAS28 and CDAI were used and were fully validated in the independent cohort of patients with late RA. CONCLUSION: The level of disease activity at baseline and especially during the first 3 months of treatment is significantly related to the level of disease activity at 1 year. Patients who reach a moderate or low disease activity status after 3-6 months of therapy may require switching to alternative therapies. Our findings indicate that intensive and dynamic treatment strategies that include a closer look at disease activity at 3 months in patients with early and late RA is warranted.
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 | 0,003 | 0,008 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».