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FDA's Drug Review Process and the Package Label Strategies for Writing Successful FDA Submissions

Langue : Anglais

Auteur :

Couverture de l’ouvrage FDA's Drug Review Process and the Package Label

FDA's Drug Review Process and the Package Label provides guidance to pharmaceutical companies for writing FDA-submissions, such as the NDA, BLA, Clinical Study Reports, and Investigator's Brochures. The book provides guidance to medical writers for drafting FDA-submissions in a way more likely to persuade FDA reviewers to grant approval of the drug. In detail, the book reproduces data on efficacy and safety from one hundred different FDA-submissions (NDAs, BLAs). The book reproduces comments and complaints from FDA reviewers regarding data that are fragmentary, ambiguous, or that detract from the drug's approvability, and the book reveals how sponsors overcame FDA's concerns and how sponsors succeeded in persuading FDA to grant approval of the drug. The book uses the most reliable and comprehensive source of information available for writing FDA-submissions, namely text and data from NDAs and BLAs, as published on FDA's website. The source material for writing this book included about 80,000 pages from FDA's Medical Reviews, FDA's Clinical Pharmacology Reviews, and FDA's Pharmacology Reviews, from one hundred different NDAs or BLAs for one hundred different drugs. Each chapter focuses on a different section of the package label, e.g., the Dosage and Administration section or the Drug Interactions section, and demonstrates how the sponsor's data supported that section of the package label.

1. Introduction2. FDA's decision-making process when assessing ambiguous data3. Food effect studies4. Dose modification and dose titration5. Contraindications6. Animal studies7. Drug-drug interactions -- Part One (small molecule drugs)8. Drug-drug interactions -- Part Two (therapeutic proteins)9. Immunosuppression, drug-induced hypersensitivity reactions, and drug-induced autoimmune reactions10. Drug class analysis11. Relatedness12. Adjudication of clinical data13. Coding14. Pooling

Pharmaceutical and biotechnology industry scientists and companies, pharmacology and pharmaceutical science students and researchers who are interested in learning or need to participate in the FDA drug review process. Law firms and law schools with an interest in the regulatory role of the FDA.

Dr. Tom Brody received his PhD from the University of California at Berkeley in 1980, and conducted postdoctoral research at University of Wisconsin-Madison and also at U.C. Berkeley. His 20 research publications concern the metabolism and pharmacology of folates, cloning an anti-cancer gene (XPE gene), and the structure of an antibody (natalizumab) used for treating multiple sclerosis. The author has 15 years of pharmaceutical industry experience, acquired at Schering-Plough, Cerus Corporation, and Elan Pharmaceuticals, and has contributed to FDA submissions for the indications of multiple sclerosis, melanoma, head and neck cancer, liver cancer, pancreatic cancer, and hepatitis C. At an earlier time, he wrote two editions of Clinical Trials, published by Elsevier, Inc. The author has 16 years of training and experience in the Code of Federal regulations, as it applies to pharmaceuticals and clinical trial design.
  • Reveals strategies for winning FDA approval and for drafting the package label
  • Examples are from one hundred FDA-submissions (NDAs, BLAs) for one hundred different drugs, e.g., for oncology, metabolic diseases, autoimmune diseases, and neurological diseases
  • This book uses the most reliable and comprehensive source of information available for writing FDA-submissions, namely, the data from NDAs and BLAs as published on FDA's website at the time FDA grants approval to the drug

Date de parution :

Ouvrage de 670 p.

19x23.3 cm

Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).

146,54 €

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Thèmes de FDA's Drug Review Process and the Package Label :

Mots-clés :

AUC; Absolute bioavailability; Accuracy of coding; Adjudicating AEs; Adjudicating efficacy; Adjudication; Adjusting for subject-years; Adverse events; Alcohol; Allocation ratio; Ambiguous data; Animal model; Antidepressants; Antidrug antibodies; Appropriated species; Area under the curve; Autoimmunity; BCS class; BLA; Baseline imbalance; Beta-blockers; Bioavailability; Black box warning; CTCAE; CTD; CYP enzyme; CYP isozyme; Case Report Form; Causal assessment; Causal relationship; Clinical Hold; Clinical hold; Cmax; Coadministered; Coadministration; Cockroft-Gault equation; Code of Federal Regulations; Comorbid conditions; Concomitant disease; Contraindications; Cytochrome P450; Cytokines; Dosage and administration; Dose delay; Dose discontinuation; Dose dumping; Dose interruption; Dose modification; Dose reduction; Dose titration; Double counting; Drug class; Drug class analysis; Drug interactions; Drug transporter; Drug-drug interactions; Embryofetal toxicity; Exposure; First-in-class; Food effect studies; Genetic marker; Glomerular filtration rate; Grapefruit juice; Hepatic impairment; High-fat meal; Hypersensitivity reactions; Imbalance in study drug arm and placebo arm of AE; Immunosuppressants; Impaired hepatic function; Impaired renal function; Indications and usage; Ketoconazole; Lumping; Lupus-like syndrome; Lymphoma; MAO inhibitors; Mechanism of action; MedDRA dictionary; MedDRA terms; Milk; Miscoding; NDA; NOAEL; Naranjo criteria; Neutralizing antibodies; Neutropenia; Off-label uses; Oligosaccharide; Opportunistic infections; P-glycoprotein; Package label; Patient heterogeneities; Pharmacokinetics; Placebo arm; Polyethylene glycol; Pooling; Postmarketing requirement; Pre-NDA meeting; Preferred Terms; Pregnancy