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The Comparative Effectiveness of Innovative Treatments for Cancer (CEIT-Cancer) project Rationale and design of the database and the collection of evidence available at approval of novel drugs
- Source :
- Trials, Trials, 2018, 19 (1), pp.505. ⟨10.1186/s13063-018-2877-z⟩, Trials, BioMed Central, 2018, 19 (1), pp.505. ⟨10.1186/s13063-018-2877-z⟩, Trials, Vol 19, Iss 1, Pp 1-13 (2018)
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- Background The available evidence on the benefits and harms of novel drugs and therapeutic biologics at the time of approval is reported in publicly available documents provided by the US Food and Drug Administration (FDA). We aimed to create a comprehensive database providing the relevant information required to systematically analyze and assess this early evidence in meta-epidemiological research. Methods We designed a modular and flexible database of systematically collected data. We identified all novel cancer drugs and therapeutic biologics approved by the FDA between 2000 and 2016, recorded regulatory characteristics, acquired the corresponding FDA approval documents, identified all clinical trials reported therein, and extracted trial design characteristics and treatment effects. Herein, we describe the rationale and design of the data collection process, particularly the organization of the data capture, the identification and eligibility assessment of clinical trials, and the data extraction activities. Discussion We established a comprehensive database on the comparative effects of drugs and therapeutic biologics approved by the FDA over a time period of 17 years for the treatment of cancer (solid tumors and hematological malignancies). The database provides information on the clinical trial evidence available at the time of approval of novel cancer treatments. The modular nature and structure of the database and the data collection processes allow updates, expansions, and adaption for a continuous meta-epidemiological analysis of novel drugs. The database allows us to systematically evaluate benefits and harms of novel drugs and therapeutic biologics. It provides a useful basis for meta-epidemiological research on the comparative effects of innovative cancer treatments and continuous evaluations of regulatory developments.
- Subjects :
- Comparative Effectiveness Research
Time Factors
Databases, Factual
Medicine (miscellaneous)
computer.software_genre
0302 clinical medicine
Clinical trials
Risk Factors
Neoplasms
Medicine
Pharmacology (medical)
030212 general & internal medicine
Drug Approval
Cancer
lcsh:R5-920
Database
Marketing authorization
Data Collection
[SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciences
Drug regulation
US Food and Drug Administration (FDA)
3. Good health
[SDV.SP] Life Sciences [q-bio]/Pharmaceutical sciences
Identification (information)
Treatment Outcome
Data extraction
Research Design
Evidence synthesis
030220 oncology & carcinogenesis
lcsh:Medicine (General)
Approval package
Antineoplastic Agents
Risk Assessment
Food and drug administration
03 medical and health sciences
Drugs and biologics
Humans
Biological Products
Data collection
business.industry
United States Food and Drug Administration
Drugs, Investigational
medicine.disease
United States
Clinical trial
Systematic review
business
Relevant information
computer
Subjects
Details
- Language :
- English
- ISSN :
- 17456215
- Database :
- OpenAIRE
- Journal :
- Trials, Trials, 2018, 19 (1), pp.505. ⟨10.1186/s13063-018-2877-z⟩, Trials, BioMed Central, 2018, 19 (1), pp.505. ⟨10.1186/s13063-018-2877-z⟩, Trials, Vol 19, Iss 1, Pp 1-13 (2018)
- Accession number :
- edsair.doi.dedup.....7c4ef774db771eafce4664a4fa9245a9
- Full Text :
- https://doi.org/10.1186/s13063-018-2877-z⟩