Campaign manufacturing of highly active or sensitizing drugs: a comparison between the GMPs of various Regulatory Agencies.
Notice bibliographique
Résumé
BACKGROUND: Cross-contamination and mix-ups are among the problems which could have a negative impact on the quality of the finished product during the production of highly active or sensitizing drugs with campaign manufacturing. Standardised, validated procedures ensure quality standards are maintained during production. In spite of this, the operating conditions and applicability of methods adopted by the various regulatory agencies manifest significant differences which could consequently compromise the safety of the finished product. This work has analysed and compared the GMP of various Regulatory Agencies to examine issues connected to campaign manufacturing highly active or sensitizing drugs. METHODS: The GMP of the following Regulatory Agencies have been studied: EMA, CFDA, COFEPRIS, FDA, Health Canada, ANVISA, CDSCO, PIC/S and WHO. The study was carried out for the purpose of understanding which agencies consent to the use of campaign manufacturing for the following categories of medicinal products: hormones, immunosuppressants, cytotoxic agents, highly active pharmaceutical ingredients (APIs), biological preparations, steroids, sensitizing pharmaceutical materials, antibiotics, cephalosporins, penicillins, carbapenems and beta-lactam derivatives. RESULTS: The GMP of Health Canada, EMA, PIC/S and FDA show a number of similarities, starting with the fact that they allow campaign manufacturing for similar categories of pharmaceutical products after an appropriate risk evaluation has been performed. CFDA, WHO, ANVISA authorise campaign manufacturing in "exceptional circumstances", though they do not always define what they mean by this. COFEPRIS authorises campaign manufacturing for certain classes of drugs, while there is no mention of campaign manufacturing in the CDSCO regulations. CONCLUSIONS: Quite a few significant differences have been found in the various regulations concerning the use of campaign manufacturing and the classes of drugs that can be produced with this method. In the light of this, it is obvious that efforts to harmonise legislation internationally have not yet been successful: currently, states can adopt different quality standards. The pharmaceutical industry could use this situation to its advantage by delocalising production on the basis of existing standards. The need to harmonise GMPs is a priority which must be achieved as soon as possible.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».