このエントリーをはてなブックマークに追加
ID 61347
FullText URL
Author
Nishii, Kazuya Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Inoue, Masaaki Shimonoseki City Hospital
Obata, Hideto Yamaguchi-ken Saiseikai Shimonoseki General Hospital
Ueda, Yutaka Kagawa Prefectural Central Hospital
Kozuki, Toshiyuki National Hospital Organization Shikoku Cancer Center
Yamasaki, Masahiro Hiroshima Red Cross Hospital & Atomic-Bomb Survivors Hospital
Moritaka, Tomonori Ehime Prefectural Central Hospital
Awaya, Yoshikazu Miyoshi Central Hospital
Sugimoto, Keisuke Japanese Red Cross Kobe Hospital
Gemba, Kenichi Chugoku Central Hospital
Kuyama, Shoichi National Hospital Organization Iwakuni Clinical Center
Ichikawa, Hirohisa KKR Takamatsu Hospital
Shibayama, Takuo National Hospital Organization Okayama Medical Center
Kubota, Tetsuya Department of Respiratory Medicine and Allergology, Kochi Medical School, Kochi University
Kodani, Masahiro Division of Medical Oncology and Molecular Respirology, Faculty of Medicine, Tottori University
Kishino, Daizo Japanese Red Cross Society Himeji Hospital
Fujimoto, Nobukazu Okayama Rosai Hospital
Ishikawa, Nobuhisa Hiroshima Prefectural Hospital
Tsubata, Yukari Division of Medical Oncology and Respiratory Medicine, Department of Internal Medicine, Shimane University Faculty of Medicine
Ishii, Tomoya Department of Internal Medicine, Division of Hematology, Rheumatology and Respiratory Medicine, Faculty of Medicine
Fujitaka, Kazunori Department of Molecular and Internal Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University
Hotta, Katsuyuki Department of Respiratory Medicine, Okayama University Hospital Kaken ID publons researchmap
Kiura, Katsuyuki Department of Respiratory Medicine, Okayama University Hospital ORCID Kaken ID publons researchmap
Abstract
Introduction
Conventional cancer registries are suitable for simple surveillance of cancer patients, including disease frequency and distribution, demographics, and prognosis; however, the collected data are inadequate to clarify comprehensively diverse clinical questions in daily practice.
Methods
We constructed an umbrella‐type lung cancer patient registry (CS‐Lung‐003) integrating multiple related prospective observational studies (linked studies) that reflect clinical questions about lung cancer treatment. The primary endpoint of this registry is to clarify daily clinical practice patterns in lung cancer treatment; a key inclusion criterion is pathologically diagnosed lung cancer. Under this registry, indispensable clinical items are detected in advance across all active linked studies and gathered prospectively and systematically to avoid excessive or insufficient data collection. Researchers are to input information mutually, irrespective of the relevance to each researcher's own study. Linked studies under the umbrella of the CS‐Lung‐003 registry will be updated annually with newly raised clinical questions; some linked studies will be newly created, while others will be deleted after the completion of the analysis. Enrollment began in July 2017.
Discussion
We successfully launched the umbrella‐type CS‐Lung‐003 registry. Under this single registry, researchers collaborate on patient registration and data provision for their own and other studies. Thus, the registry will produce results for multiple domains of study, providing answers to questions about lung cancer treatment raised by other researchers. Through such analysis of each linked study, this registry will contribute to the comprehensive elucidation of actual daily practice patterns in lung cancer treatment.
Key points
CS‐Lung‐003 registry directly integrates multiple linked studies created under the umbrella of this cancer registry to solve various clinical questions regarding daily practice patterns of lung cancer treatment.
Keywords
Database
observational study
real world data
surveillance
treatment
Published Date
2021-01-12
Publication Title
Thoracic Cancer
Volume
volume12
Issue
issue5
Publisher
Wiley
Start Page
725
End Page
731
ISSN
1759-7706
Content Type
Journal Article
language
英語
OAI-PMH Set
岡山大学
Copyright Holders
© 2020 The Authors.
File Version
publisher
PubMed ID
DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.1111/1759-7714.13789
License
https://creativecommons.org/licenses/by-nc-nd/4.0/