Real-World Effectiveness of Guselkumab in Patients With Psoriasis: Data From the Psoriasis Longitudinal Assessment and Registry (PSOLAR)
Notice bibliographique
Résumé
Introduction The Psoriasis Longitudinal Assessment and Registry (PSOLAR; NCT00508547) is a large, international, prospective, longitudinal, disease-based registry that enrolled patients with psoriasis (PsO) who were receiving, or were candidates for, systemic therapy. The aims of the Registry are to assess the long-term safety and improve understanding of real-world biologic use in patients with PsO. Objective The objective of this analysis is to describe real-world effectiveness of guselkumab in patients with psoriasis. Methods Disease characteristics, absolute Psoriasis Area and Severity Index (PASI) score, percentage of body surface area (BSA) involvement, and change from baseline in PASI score and BSA through two years are reported for patients with PsO treated with guselkumab (GUS). Some patients initiated GUS ahead of enrolment in the registry. Results As of 12 July 2024, 2198 patients who initiated GUS prior to, or at, enrolment were included with a mean (standard deviation [SD]) duration of follow-up of 3.02 (1.08) years. Of these, 1184 (53.9%) were from North America, 672 (30.6%) were from Europe and 342 (15.6%) were from the Asia-Pacific region. Through 2 years of treatment, 244 (11.1%) patients withdrew from the registry, with the most common reason for withdrawal being patient choice (n=96, 39.3%) and 48 (19.7%) patients being lost to follow-up. Most patients had plaque PsO (2140, 97.4%) with a mean (SD) baseline PASI score of 6.0 (7.02) and a mean (SD) BSA involvement of 8.9% (12.72%). At baseline, 427 (21.1%) patients had a PASI score of 0, 188 (9.3%) had PASI >0–<1, 199 (9.8%) had PASI ≥1–<2, 160 (7.9%) had PASI ≥2–<3, 231 (11.4%) had PASI ≥3–<5 and 816 (40.4%) had PASI ≥5. Approximately 1 in 4 GUS patients had a PASI score of >10 (n=496; 24.5%). At Month 6, the mean (SD) change from baseline in PASI score was −4.5 (7.06) and the mean (SD) change from baseline in %BSA was −6.6 (12.41), corresponding to a mean (SD) absolute PASI score of 1.6 (3.10) and a mean (SD) BSA of 2.3% (5.81%), respectively. Improvements were maintained through 1 year of therapy; at Month 12, the mean (SD) change from baseline in PASI score was −4.4 (6.96) and in %BSA was −6.8 (12.26), corresponding to mean (SD) absolute PASI score of 1.5 (2.74) and a mean (SD) BSA of 1.9% (4.79%). Improvements were maintained through 2 years of treatment, with a mean (SD) absolute PASI score of 1.5 (3.13) and a mean (SD) BSA of 2.1% (6.08%), respectively. Conclusion: Patients in this large real-world registry experienced improvements in PsO severity while receiving treatment with GUS. Improvements were maintained through 2 years of treatment, supporting the use of GUS as a highly effective long-term option for patients with PsO.
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 | 0,011 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».