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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

Authors :
Hannah Ewald
Juan Martin-Liberal
Aviv Ladanie
Lars G. Hemkens
Tiago V. Pereira
Arnav Agarwal
Benjamin Kasenda
Heiner C. Bucher
Francesco Sclafani
Thomas Schmid
Benjamin Speich
Florian Naudet
John P. A. Ioannidis
University of Basel (Unibas)
Swiss Tropical and Public Health Institute [Basel]
Centre d'Investigation Clinique [Rennes] (CIC)
Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM)
University of Toronto
McMaster University [Hamilton, Ontario]
Oswaldo Cruz German Hospital [São Paulo]
Royal Marsden NHS Foundation Trust
Catalan Institute of Oncology (ICO)
Vall d'Hebron Institute of Oncology [Barcelone] (VHIO)
Vall d'Hebron University Hospital [Barcelona]
St. Clara Hospital [Basel]
Stanford University
KLS-3587-02-2015, Krebsliga Schweiz
Troccaz, Olivier
Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM)
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.

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⟩