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Enregistrement W2960106648 · doi:10.1007/s40120-019-0145-0

Biosimilar Drugs for Multiple Sclerosis: An Unmet International Need or a Regulatory Risk?

2019· article· en· W2960106648 sur OpenAlexaboutno aff
Víctor M. Rivera

Notice bibliographique

RevueNeurology and Therapy · 2019
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueBiosimilars and Bioanalytical Methods
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBiosimilarMedicineBiopharmaceuticalMultiple sclerosisPharmacyIntensive care medicineFamily medicineInternal medicinePsychiatryBiotechnology

Résumé

récupéré en direct d'OpenAlex

Multiple sclerosis (MS) more than any other neurological disorder has experienced a tremendous progress in available evidence-based innovator disease modifying therapies (DMT). These medications include injectable complex nonbiological drugs (CNBD), the injectable biological products β-interferons-1a and -1b, and the infusible monoclonal antibodies (MAB), as well as oral synthetic therapeutic molecules. The degree of efficacy and adverse effects profile is variable. By the end of 2019, all medications have been approved for relapsing forms of MS, including five with indication for clinically isolated syndrome (CIS), two for active secondary progressive MS, and one for primary progressive MS. With the advent of the first generation or "platform" injectable DMT in the 1990s the cost of MS care increased substantially driven basically by the cost of these therapies. As new drugs licensed by health agencies appeared in the global market, the cost of these agents notably increased augmenting the economic gravamen of disease particularly in North America This industrial phenomenon has been promoted by the remarkable profits obtained by the biopharmaceutical companies producing these medications, costs increasing about seven times per patient per year in the span of two decades. The global MS drug market was valued at US$16.3 billion in 2016, expecting to reach US$27.8 billion by 2025. The societal and economic effect of these costs constitute an international concern for health systems which adjudicate an increasing portion of financial resources to MS care. This effect has had a more notorious impact in emerging countries with economies in development. In the early 2000s the industry producers of biosimilar molecules initiated the concept of manufacturing follow-on biosimilar therapeutic options for MS available at a reduced cost without affecting efficacy and safety. Latin American biotechnological companies from Mexico, Argentina and Uruguay, introduced into the regional markets biosimilar β-interferons. These products were licensed by the local regulatory agencies without challenging pharmacological profile and their claims of similarity with the innovator medications. In the licensing process, biosimilar manufactures have typically utilized published literature and phase III clinical trials data previously acquired by the brand medication ("third approval pathway''). This has raised concerns among local neurological communities and patient organizations in the area. This situation is compounded by the fact that no discernible health cost savings have resulted since their introduction in Latin American countries. In some European countries where the health care system, public and private systems, regulated by Ministries of Health, negotiate with the pharmaceutical industry drug pricing and payment systems. The business scenario has stimulated local industries to produce follow-on biosimilar medications, theoretically to compete or replace the original brands. Countries such as Iran who have experienced a substantial increase in MS prevalence (101.19 per 100,000 inhabitants) has enabled their national Food and Drug Organization (FDO) to license locally produced biosimilar interferon 1-a and 1-b based on somewhat limited clinical studies. The Ministry of Health of the Russian Federation, approved the first biosimilar β-interferon-1a (44 mcg subcutaneous administration) manufactured in the country and developed in accordance to the guidelines of the European Medicine Agency (EMA) for phase I and phase III studies. The EMA, however, along with other international licensing agencies: United States Food and Drug Agency (FDA), Health Canada, the Japanese Pharmaceuticals and Medical Devices Agency (PMDA), the UK Medicines and Healthcare Products Regulatory Agency (MHPRA), and others, have produced strict guidelines regulating registration of biosimilar medicines. Thus far these agencies have not approved any interferon or MAB for MS based on these principles. The main obstacles for the approval of biosimilar medications by international health agencies is their consistent inability to demonstrate therapeutic equivalence through physiochemistry, biology, immunogenicity aspects, molecular behavior and clinical studies, preferably through a controlled phase III study, or ideally, utilizing a comparative head-to-head trial with the innovator. Recommendations proposed by experts from the Latin American region to guarantee production quality of biosimilar products, efficacy and safety, include strict application of current regulations; avoid uncontrolled interchangeability; implement strong pharmacovigilance; educate healthcare professionals and regulatory officials on the different issues involved in the biosimilarity concept and use evidence-based decision for therapy selection. The main priority should always be the protection and well-being of the patient irrespectively of therapy availability or pharmacoeconomic issues.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,035
score de la tête « metaresearch » (Gemma)0,100
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,183

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0350,100
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0020,003
Études des sciences et des technologies0,0020,009
Communication savante0,0120,017
Science ouverte0,0030,004
Intégrité de la recherche0,0230,015
Charge utile insuffisante (le modèle a refusé de juger)0,0250,006

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 Opus0,037
Tête enseignante GPT0,278
Écart entre enseignants0,241 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreSynthèse

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

En bref

Citations11
Publié2019
Routes d'admission1
Résumé présentoui

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