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Enregistrement W4412492282 · doi:10.1007/s13555-025-01463-6

Time to Onset of Action for Biologics and Targeted Treatments in Psoriasis: Systematic Targeted Literature Review and Network Meta-Analysis

2025· article· en· W4412492282 sur OpenAlexafffund
Kim Papp, Ronald Vender, Kerri Purdy, Fiona Lovegrove, Irina Oroz, Parbeer Grewal, Perla Lansang, Laura Park‐Wyllie, Nastaran Abbarin, Ya‐Wen Yang, Becky Hooper, Sandra Vigelis, Tim Disher, Richard G. Langley

Notice bibliographique

RevueDermatology and Therapy · 2025
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiquePsoriasis: Treatment and Pathogenesis
Établissements canadiensHealth Sciences CentreSunnybrook Health Science CentreUniversity of AlbertaUniversity of SaskatchewanEVERSANA (Canada)Western UniversityUniversity of TorontoDalhousie UniversityDermatrials ResearchProbity Medical ResearchMcMaster University
Organismes subventionnairesLEO PharmaBausch HealthAstellas PharmaMylanIncyteDermiraSun PharmaRegeneron PharmaceuticalsCelgeneValeant Pharmaceuticals InternationalJanssen CanadaSanofiAmgenPfizerMeiji Seika PharmaGaldermaEli Lilly and Company
Mots-clésIxekizumabMedicinePsoriasis Area and Severity IndexSecukinumabInternal medicineOnset of actionPsoriasisConfidence intervalMeta-analysisDermatologyPsoriatic arthritis

Résumé

récupéré en direct d'OpenAlex

For some patients with plaque psoriasis (PsO), a rapid response (i.e. short interval to time to onset of action [TOA]) is desired. The primary objective was to determine average time to achieve a Psoriasis Area and Severity Index (PASI) 90 response (50% of patients) for individual biologics or targeted therapies. Secondary outcomes included the average time to achieve a PASI 75 response (50% of patients), as well as PASI 90 and PASI 75 responses over the first 16 weeks of therapy. A systematic targeted literature review was conducted to identify phase III and IV randomised, double-blinded trials according to pre-specified eligibility criteria that investigated interleukin (IL)-12/23 inhibitors, IL-17 inhibitors, IL-23 inhibitors, Janus kinase (JAK) inhibitors, and phosphodiesterase (PDE) inhibitors. Using proportions of patients achieving PASI 90 or 75 responses over 16 weeks, network meta-analyses were conducted to estimate response over time. This was presented as curves, and TOA was summarized as median time to reach the 50th percentile. Forty-five trials were included in the main analyses. The IL-17 inhibitors bimekizumab, ixekizumab, brodalumab, and secukinumab 300 mg were estimated to provide the earliest onset of PASI 90 response at approximately 6 to 8 weeks. This was followed by the IL-23 inhibitors risankizumab and guselkumab at approximately 9–10 weeks, and the IL-12/23 inhibitor at 11–12 weeks. Although wide and overlapping credible intervals and similar point estimates were observed, these results suggest onset of action does not vary greatly across biologics in these classes. Onset of PASI 90 response could not be estimated by the model for tildrakizumab, and JAK and PDE4 inhibitors. Onset of PASI 75 response showed similar trends to PASI 90 response. IL-17 inhibitors, followed by IL-23 inhibitors, have the most rapid TOA among PsO biologics evaluated; any differences in onset of action between specific agents within the same drug class are not statistically or clinically significant. These analyses will allow clinicians to make more informed treatment decisions for their patients. Moderate-to-severe plaque psoriasis is a chronic condition that affects approximately 125 million people worldwide. The skin lesions in plaque psoriasis are red, scaly, and often itchy. In addition, patients with plaque psoriasis may have reduced quality of life. As an increasing number of treatments have become available for managing plaque psoriasis, determining the most appropriate therapy for individual patients can be complex. When making treatment decisions, clinicians consider several factors, including how long it will take for a patient to see clinical benefit from a treatment, otherwise known as time to onset of action. The time to onset of action of a treatment is determined by analysing changes in Psoriasis Area and Severity Index (PASI), a commonly used tool to assess the severity of psoriasis, over time. Commonly assessed outcomes in psoriasis clinical trials include a 90% and a 75% reduction in PASI scores (i.e. PASI 90 and PASI 75, respectively). We aimed to assess the average time to onset of action of various psoriasis treatments using data reported from 45 clinical trials. The proportion of patients achieving a PASI 75 or 90 response by week 16 was used in the analysis. Interleukin-17 inhibitors, followed by interleukin-23 inhibitors, generally had the fastest time to onset of action with respect to PASI response, while interleukin-12/23 inhibitors, followed by Janus kinase and phosphodiesterase 4 inhibitors, were slower.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: Méta-analyse
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,652
Score d'incertitude au seuil0,608

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,032
Tête enseignante GPT0,291
Écart entre enseignants0,259 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeMéta-analyse
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2025
Routes d'admission2
Résumé présentoui

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