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The 3rd Forum on Randomization and Drug Administration
FORUM
On July 5, 2024, the 3rd Randomization and Drug Management Forum 2024, co-hosted by Hengrui Pharma and Qilu Pharmaceutical, was successfully held in Shanghai. From the perspective of sponsors, this forum shared experiences from recent projects that underwent inspections by national authorities, introduced technologies currently in use for generating blind codes, and discussed blinded drug supply processes, providing solutions for standardizing randomization and blinding management procedures in clinical research.
Fall Curtain
Dr. Chongchao Yan, Head of Hengrui Pharma's Clinical Data Science Center, delivered a welcome speech, expressing heartfelt thanks and warm welcome to more than 60 colleagues from the industry who attended this forum despite the scorching sun. Dr. Tao Zhang, Head of Statistics and Programming Department at Qilu Pharmaceutical, introduced the upcoming forum agenda and formally introduced the attending guest, Professor Yang Zhao from Nanjing Medical University.
Dr. Yanchao Yan
Dr. Zhang Tao
01
Understanding Randomization from the Perspective of Verification
Professor Yang Zhao shared on the topic of "Inspection and Randomization," interpreting randomness from the perspective of inspection. The presentation covered basic considerations for formulating inspection points, the fundamental structure of statistical inspection points, and key aspects of inspection related to randomization and blinding.
Professor Yang Zhao
Professor Zhao Yang emphasized the core role of randomization in ensuring the reliability of clinical trial results, as it helps control confounding factors, achieve balance between groups, and infer causal relationships.
In the statistical execution - randomization and blinding verification, key points include a clear randomization plan, reproducibility of randomization results, detailed blind coding records, explicit regulations for various unblinding methods, and corresponding records. In essential documents for statistical analysis, randomization and blinding-related documents play a crucial role.
It is also crucial to develop and follow Standard Operating Procedures (SOPs) to ensure compliance in the randomization process and the integrity of the data. Professor Yang Zhao emphasized: Randomization is only the starting point of experimental design; maintaining randomness is the key to the success or failure of clinical trials and a critical element that needs to be continuously maintained throughout the research process.
02
Experience Sharing on National Bureau Inspection from the Sponsor's Perspective
Chen MiMi, Senior Manager of Randomization at Hengrui Pharma, shared insights on "Experience Sharing of National Medical Products Administration Inspection from the Sponsor's Perspective," focusing on key randomization issues, explorations in process improvement, and practical experiences during inspections.
Teacher Chen Mimi
Chen Mimi stated that the National Medical Products Administration (NMPA) inspection focuses on the reproducibility of the randomization process, validation of the randomization system, independence of the randomization schedule, and the standardization of drug supply management. She proposed that the interface-based randomization generator developed and used by Hengrui Pharma can optimize the generation of randomization schedules and workflow management, as well as ensure timely archiving of randomization documents to guarantee the authenticity, consistency, compliance, and reliability of the randomization process. Finally, she shared practical experiences from NMPA inspections, emphasizing the importance of electronic system validation, access control, and audit trails in the NMPA's review of randomization and drug management.
03
Common Strategies for Supplying Medications in Blind Trials
Qilu Pharmaceutical's Randomization Director Bai Xiaolong Shared on "Common Supply Strategies for Blinded Clinical Trial Drugs," covering supply scenarios in clinical research, key considerations in the supply process, common supply methods, and setup under different supply scenarios.。
Teacher Bai Xiaolong
Due to the varying number of research centers, supply frequencies, stages, drug dispensing frequencies for subjects, and inter-group ratios, the supply scenarios for blinded trial medications are more diverse. In addition to ensuring continuous drug supply and cost control during the supply process, maintaining the blind is particularly crucial. Issues such as flawed blinding design and supply design deficiencies can lead to a fragile blinding.
Mr. Bai Xiaolong shared the logic and potential risks of supply algorithms such as Predictive Only, Buffer Only, and Predictive & Buffer through specific examples. In addition, he discussed supply strategies in different supply scenarios (e.g., multiple shipments + single dispensing + non-proportional, multiple shipments + multiple dispensing + proportional + multi-center + ongoing phase), demonstrating how to adjust supply strategies based on different situations. He also showed how to efficiently and economically manage drug supply in clinical trials while maintaining the blind state.
04
Automation Process of Random Generator
Hengrui Pharma's Senior Manager of Randomization, Wu Jie, Shared & Demonstrated the Automated Process of the Self-developed "Random Generator", Fully Introducing Hengrui’s Clinical Data Science Center Randomization Generation Platform. This platform can generate blind baseline files of different random types by filling in the required random parameters on a web page and running background SAS programs. Since 2016, the platform has evolved from manual SAS programming to an intelligent online platform, improving efficiency and accuracy.
Teacher Wu Jie
Ms. Wu Jie demonstrated the platform's automated processes, including integration with the Clinical Data Total Management System (CDTMS) and Randomization System (RTSM), as well as enhancing operational convenience and compliance by adding functions such as QC review, online email sending, and user permission management. The system also automatically retains work evidence to support subsequent audit requirements.
As the needs of clinical research continue to evolve, the randomization generator platform will keep optimizing to provide more intelligent, integrated, and personalized services, bringing more innovation and development to clinical research.
05
Method for Blinding Management of Clinical Trial Data
Hengrui Pharma's Technical Operations Director Haihai Yan Discusses the Background, Principles, and Blinding Process of Clinical Data Blind Management in "Methods for Blind Management of Clinical Trial Data."
Teacher Yan Huaihai
Teacher Yan Huaihai emphasized that, based on the primary efficacy endpoints, roles such as statistical programming, medical, pharmaceutical, and statisticians must be blinded to avoid affecting the trial progress and intervention trial results; with the further enhancement of the national bureau's inspection requirements, sponsors need to focus on the standardization of blinding management.And establish SOP. The blind management of clinical data must follow the clinical trial project protocol and the blinding plan written by the project statistician. In practice, key attention should be paid to blinding variables, blinding subjects, and blinding methods.
Teacher Yan Huaihai demonstrated in detail the entire process of Hengrui Pharma’s clinical data blinding. By utilizing Hengrui's full-process clinical data management system, the blinding process for clinical data (including external data) has been made online and electronic. This not only improves efficiency and saves labor costs but also fully meets the requirements for inspection. In the future, as clinical trial protocols become more demanding, further exploration and improvement will be needed on how to integrate data management processes through more IT-based methods to meet regulatory requirements.
06
Clinical Trial Randomization and Blinding Implementation Verification
Key Points Discussion
Dr. Chongchao Yan, Head of Hengrui Pharma Data Science Center; Dr. Tao Zhang, Head of Statistics and Programming at Qilu Pharmaceutical; Professor Yang Zhao from Nanjing Medical University; Yuan Geng, Head of Biostatistics and Data Management at Daiichi Sankyo China; He Bing, Head of Statistical Programming at Hengrui Pharma, engaged in an in-depth discussion on "Key Points for Inspection of Randomization and Blinding Implementation in Clinical Trials," sharing their experiences and addressing critical pain points in the industry.
Roundtable Discussion
Q&A Session
Experts emphasized that first, work should be brought forward to maximize the perfection of SOPs and strictly enforce them. Second, make good use of information systems to ensure the integrity of work trails. Finally, strengthen internal quality control to improve work quality, meeting verification requirements in an all-around way.
CDE Issues Separate Guidelines and Policies for Randomization and Blinding to Enhance Professionalism in Clinical TrialsAgainst this backdrop, Hengrui Pharma and Qilu Pharmaceutical aim to use the Randomization and Drug Management Forum as a platform to connect with more outstanding peers in the industry. The forum will facilitate broad exchanges and sharing of experiences in implementing blinding procedures, strengthen the expansion of professional knowledge and skills, consolidate and improve the professional standards of randomization and drug management, thereby promoting the healthy and long-term development of this field.
A New Journey, New Opportunities: Looking Forward to Reuniting Next Year!












