Questionnaire survey and analysis of drug clinical research implementation capabilities of breast cancer treatment departments in Chinese hospitals.

Breast

Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. Electronic address:

Published: October 2024

Background: Clinical research competence determines the quality of clinical research and the reliability of research findings. We aimed to explore the clinical research implementation capabilities of breast cancer treatment departments in China.

Methods: This was a department-based cross-sectional study conducted in the form of electronic questionnaires on the Wenjuanxing platform from 7th August to 31 August 2023 among hospitals from the first batch of breast cancer standardized diagnosis and treatment quality control pilot centers in China.

Results: A total of 127 questionnaires from 122 hospitals were ultimately included in the analysis. Medical personnel involved in the clinical research of 118 (92.9 %) departments received good clinical practice (GCP) training. The steps of the approval process from research initiation to completion lasted 2-4 weeks or longer. The majority of departments initiated or participated in 2 or fewer clinical research projects over the past year. Among the differences between different departments, the Department of Medical Oncology had a better qualification profile and process and greater number of initiated and participated clinical studies than did the Department of Surgical Oncology. For needs and problems, most of the departments were strongly willing to undertake clinical research and receive professional training; the most common problem in the process of conducting studies was patient recruitment.

Conclusions: Most departments generally exhibited complete capabilities for implementing clinical research. Improvements in implementation efficiency, quality of research and patient recruitment are still needed. Professional training and communication, as well as the recommendation of clinical research, are required in future development.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11283010PMC
http://dx.doi.org/10.1016/j.breast.2024.103766DOI Listing

Publication Analysis

Top Keywords

breast cancer
12
clinical
11
clinical implementation
8
implementation capabilities
8
capabilities breast
8
cancer treatment
8
treatment departments
8
initiated participated
8
professional training
8
departments
7

Similar Publications

The implementation and side effect management of immune checkpoint inhibitors in gynecologic oncology: a JAGO/NOGGO survey.

BMC Cancer

January 2025

Young Academy of Gynecologic Oncology (JAGO), Nord-Ostdeutsche Gesellschaft für Gynäkologische Onkologie (NOGGO), Berlin, Germany.

Background: The integration of immune checkpoint inhibitors (ICIs) into routine gynecologic cancer treatment requires a thorough understanding of how to manage immune-related adverse events (irAEs) to ensure patient safety. However, reports on real-world clinical experience in the management of ICIs in gynecologic oncology are very limited. The aim of this survey was to provide a real-world overview of the experiences and the current state of irAE management of ICIs in Germany, Switzerland, and Austria.

View Article and Find Full Text PDF

Background: Over the past twenty years, the post-cancer rehabilitation has been developed, usually in a hospital setting. Although this allows better care organization and improved security, it is perceived as stressful and restrictive by the "cancer survivor". Therefore, the transfer of benefits to everyday life is more difficult, or even uncertain.

View Article and Find Full Text PDF

Triaging mammography with artificial intelligence: an implementation study.

Breast Cancer Res Treat

January 2025

Google Health, 1600 Amphitheatre Pkwy, Mountain View, CA, 94043, USA.

Purpose: Many breast centers are unable to provide immediate results at the time of screening mammography which results in delayed patient care. Implementing artificial intelligence (AI) could identify patients who may have breast cancer and accelerate the time to diagnostic imaging and biopsy diagnosis.

Methods: In this prospective randomized, unblinded, controlled implementation study we enrolled 1000 screening participants between March 2021 and May 2022.

View Article and Find Full Text PDF

Background: The identification of circulating potential biomarkers may help earlier diagnosis of breast cancer, which is critical for effective treatment and better disease outcomes. We aimed to study the role of circ-FAF1 as a diagnostic biomarker in female breast cancer using peripheral blood samples of these patients, and to investigate the relation between circ-FAF1 and different clinicopathological features of the included patients.

Methods And Results: This case-control study enrolled 60 female breast cancer patients and 60 age-matched healthy control subjects.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!