Appropriate Relevancy and Reliability of Real-World Data for the Utilization of Regulatory Submission.

External control data New drug application RELISE study Real-world evidence SCRUM-Japan Registry

Journal

Clinical colorectal cancer
ISSN: 1938-0674
Titre abrégé: Clin Colorectal Cancer
Pays: United States
ID NLM: 101120693

Informations de publication

Date de publication:
06 Apr 2024
Historique:
received: 16 02 2024
revised: 01 04 2024
accepted: 02 04 2024
medline: 29 4 2024
pubmed: 29 4 2024
entrez: 28 4 2024
Statut: aheadofprint

Résumé

The extraction of data that contribute to regulatory approval from real-world data (RWD) is difficult because of the lack of a standardized data format and extraction methodology. Additionally, when real-world evidence (RWE) is used as an external control group, the similarity between internal and external control data is not evaluated. To investigate the data extraction methodology for the external control data of rare molecular subtypes, we have initiated the "REALISE" study. In this study, we aim to elucidate the "relevance" and "reliability" of RWD/RWE necessary for regulatory approval. As most databases are not designed for regulatory use in the creation phase, we will investigate retrospective methodologies to ensure RWD/RWE reliability. This study will compare the "relevance" and "reliability" of the ARCAD global database, SCRUM-Japan Registry, SCRUM-Japan observational study, and Flatiron Health RWD, and statistically analyze the differences and similarities among the four databases. We will also examine the methodology for extracting sufficiently relevant data from the SCRUM-Japan observational study. Additionally, if the reliability of the RWD/RWE does not reach the required level for regulatory approval, we will examine the methodologies to ensure the "reliability" of the SCRUM-Japan observational study for regulatory approval. The obtained results will be submitted to the "Consultation for Development of Registry" in the Pharmaceuticals and Medical Devices Agency, and we will discuss the standard methodology. The procedures and findings identified in the REALISE study will be organized from the perspectives of "database construction," "data analysis," and "outcome evaluation" and will be issued as "the draft guidelines."

Identifiants

pubmed: 38679555
pii: S1533-0028(24)00025-2
doi: 10.1016/j.clcc.2024.04.001
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure Hideaki Bando reports research funding from Ono Pharmaceutical and honoraria from Ono Pharmaceutical, Taiho Pharmaceutical, and Eli Lilly in Japan. Yasutoshi Sakamoto reports no conflict of interests. Toshihiro Misumi reports honoraria from Chugai, AstraZeneca, and Miyarisan. Yuriko Takeda reports no conflict of interests. Yoshiaki Nakamura reports honoraria from Chugai Pharmaceutical, Merck Biopharma, and Guardant Health AMEA and research grants from Taiho Pharmaceutical, Chugai Pharmaceutical, Guardant Health, Genomedia, Daiichi Sankyo, Seagen, and Roche Diagnostics. Kazuya Mizuguchi and Yoshihiro Aoyagi reports no conflict of interests. Takayuki Yoshino reports honoraria from Taiho Pharmaceutical, Chugai Pharmaceutical, Eli Lilly, Merck Biopharma, Bayer Yakuhin, Ono Pharmaceutical, and MSD and research funding from Taiho Pharmaceutical, Ono Pharmaceutical, Chugai Pharmaceutical, Amgen, Parexel International, MSD, Daiichi Sankyo, Pfizer, Genomedia, Sysmex, Nihon Boehringer Ingelheim, and Sanofi. Atsushi Ohtsu reports research funding from BMS and honoraria from Chugai and Ono Pharmaceutical.

Auteurs

Hideaki Bando (H)

Translational Research Support Office, Division of Drug and Diagnostic Development Promotion, Department for the Promotion of Drug and Diagnostic Development, National Cancer Center Hospital East, Kashiwa, Chiba, Japan; Division of Data Science, Department for the Promotion of Drug and Diagnostic Development, National Cancer Center Hospital East, Kashiwa, Chiba, Japan; Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Chiba, Japan. Electronic address: hbando@east.ncc.go.jp.

Toshihiro Misumi (T)

Division of Data Science, Department for the Promotion of Drug and Diagnostic Development, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.

Yasutoshi Sakamoto (Y)

Translational Research Support Office, Division of Drug and Diagnostic Development Promotion, Department for the Promotion of Drug and Diagnostic Development, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.

Yuriko Takeda (Y)

Division of Data Science, Department for the Promotion of Drug and Diagnostic Development, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.

Yoshiaki Nakamura (Y)

Translational Research Support Office, Division of Drug and Diagnostic Development Promotion, Department for the Promotion of Drug and Diagnostic Development, National Cancer Center Hospital East, Kashiwa, Chiba, Japan; Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Chiba, Japan; International Research Promotion Office, Division of Drug and Diagnostic Development Promotion, Department for the Promotion of Drug and Diagnostic Development, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.

Kazuya Mizuguchi (K)

Department of Medical Information, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.

Yoshihiro Aoyagi (Y)

Information Technology Management Section, Clinical Research Management Division, Clinical Research Support Office, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.

Izumi Miki (I)

Translational Research Support Office, Division of Drug and Diagnostic Development Promotion, Department for the Promotion of Drug and Diagnostic Development, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.

Tomohiro Kuroda (T)

Graduate School of Medicine, Kyoto University Hospital, Sakyo-ku, Kyoto, Japan.

Ryu Kasai (R)

Science & Technology Intelligence Department, Chugai Pharmaceutical Co., Ltd., Chuo-ku, Tokyo, Japan.

Takuya Suzuki (T)

Japan and Asia Clinical Development Department, Oncology, Deep Human Biology Learning, Eisai Co., Ltd., Bunkyo-ku, Tokyo, Japan.

Takayuki Yoshino (T)

Translational Research Support Office, Division of Drug and Diagnostic Development Promotion, Department for the Promotion of Drug and Diagnostic Development, National Cancer Center Hospital East, Kashiwa, Chiba, Japan; Division of Data Science, Department for the Promotion of Drug and Diagnostic Development, National Cancer Center Hospital East, Kashiwa, Chiba, Japan; Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.

Atsushi Ohtsu (A)

National Cancer Center Hospital East, Kashiwa, Chiba, Japan.

Classifications MeSH