{"title":"Development of a Drug Safety Signal Detection Reference Set Using Japanese Safety Information.","authors":"Satoru Ito, Mamoru Narukawa","doi":"10.1007/s43441-024-00729-z","DOIUrl":"10.1007/s43441-024-00729-z","url":null,"abstract":"<p><strong>Introduction: </strong>One of the main objectives of pharmacovigilance activities is to confirm unknown adverse drug reactions (ADRs), and data-mining methods have been developed to detect signals that are candidates for ADRs. Reference sets have been developed to evaluate the performance of the data-mining methods. However, reference sets generated in previous studies are not based on Japanese safety information; therefore, they are not suitable for use in evaluation studies in Japan because some drugs have not been approved or marketed for a long time in Japan. This study aimed to develop a reference set using drug safety information marketed in Japan and to evaluate its performance.</p><p><strong>Methods: </strong>A reference set was developed for 43 drugs and 15 events. For each combination of the selected drug and event, those that were listed as important identified risks in the Japan Risk Management Plan (J-RMP) were set as \"positive controls\" and those that were not listed as adverse reactions in the package insert were set as \"negative controls.\" In addition, we performed data-mining using Japanese Adverse Drug Event Report database (JADER) and evaluated the results against the reference set to empirically confirm its effectiveness.</p><p><strong>Results: </strong>The reference set included 127 positive and 386 negative controls. A comparison of the signals obtained from data-mining using JADER with the reference set revealed higher correlations than those in previous studies.</p><p><strong>Conclusion: </strong>A reference set was developed using the safety information of drugs approved in Japan to promote research on data-mining methods.</p>","PeriodicalId":23084,"journal":{"name":"Therapeutic innovation & regulatory science","volume":" ","pages":"288-294"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142873002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiali Song, Chen Ji, Meng Chen, Jun Dong, Chao Zhu, Haiyan Wu, Wei Zhang, Kezhou Zhang, Bing Yu, Yun Wang, Hua Zhang, Fan Jia, Yan Hou
{"title":"Basic Considerations for Data Pooling Strategy in Multi-Regional Clinical Trials (MRCTs).","authors":"Jiali Song, Chen Ji, Meng Chen, Jun Dong, Chao Zhu, Haiyan Wu, Wei Zhang, Kezhou Zhang, Bing Yu, Yun Wang, Hua Zhang, Fan Jia, Yan Hou","doi":"10.1007/s43441-025-00744-8","DOIUrl":"10.1007/s43441-025-00744-8","url":null,"abstract":"<p><p>The National Medical Products Administration of China has been implementing ICH E17, which describes the general principles for planning and designing of multi-regional clinical trials (MRCTs), yet there are several ambiguities in the execution and conduct remains in China or East Asia. In specific, pooling strategy, effect modifiers (EMs), statistical analysis, sample size allocation and their impact in alignment with global trial remains a challenge. In this paper, we explore on the criteria mentioned above under the context of China. EMs need to be determined and identified from intrinsic and extrinsic factors which might have the impact to the drug on specific populations. If no EMs are found, we use pooling by regions to understand whether differences across East Asian population exists, and whether pooling by East Asian is necessary. Statistical models used in the analysis are also listed to estimate the drug effect in pooled populations. In summary, this paper outlines the details of the MRCTs practices in China and provides better insights in practice both domestically and internationally for any future improvements.</p>","PeriodicalId":23084,"journal":{"name":"Therapeutic innovation & regulatory science","volume":" ","pages":"359-364"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880086/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143042057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Basic Considerations for the Consistency Evaluation Based on ICH E17 Guideline.","authors":"Meihua Long, Haiyan Wu, Xiaoni Liu, Pengfei Li, Renxin Lin, Ziwei Zhao, Xiujing Kou, Chao Zhu, Chen Ji, Wei Zhang, Kezhou Zhang, Bing Yu, Yun Wang, Hua Zhang, Fan Jia, Yan Hou","doi":"10.1007/s43441-024-00737-z","DOIUrl":"10.1007/s43441-024-00737-z","url":null,"abstract":"<p><p>In the International Council for Harmonisation (ICH) guidance on General Principles for Planning and Design of Multi-Regional Clinical Trials (E17), it is important to evaluate the consistency of treatment effect across regions in a multi-regional clinical trial (MRCT). In this paper, we elaborated on some basic considerations to evaluate consistency. We first list the design considerations, and then provide consistency evaluation and interpretation on pharmacokinetics, pharmacodynamics, efficacy, safety, and benefit-risk. Furthermore, we consider special situations including non-inferiority, multiple primary endpoints, interim analyses with delayed treatment effect, adaptive design, single-arm studies, rare diseases, and statistical methods for regional treatment effect estimate and consistency evaluation. Finally, if potential inconsistency is anticipated or observed in the MRCT, an exploratory framework is provided for further investigations. Overall, this paper elaborates on consistency evaluation in MRCT, discusses possible challenges in reality and also provides strategies and methods to overcome these challenges. This could help consensus across health authorities, industries, and academic societies, which could further facilitate consistency evaluation and MRCT implementation. Effective communication with regulatory authorities is encouraged to obtain an acceptance of a global approach.</p>","PeriodicalId":23084,"journal":{"name":"Therapeutic innovation & regulatory science","volume":"59 2","pages":"328-336"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880088/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143543635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nicole Stansbury, Danilo Branco, Cris McDavid, Jennifer Stewart, Kristin Surdam, Nycole Olson, Joanne Perry, Jeremy Liska, Linda Phillips, Amanda Coogan, Anina Adelfio, Lauren Garson
{"title":"Risk-Based Quality Management: A Case for Centralized Monitoring.","authors":"Nicole Stansbury, Danilo Branco, Cris McDavid, Jennifer Stewart, Kristin Surdam, Nycole Olson, Joanne Perry, Jeremy Liska, Linda Phillips, Amanda Coogan, Anina Adelfio, Lauren Garson","doi":"10.1007/s43441-024-00719-1","DOIUrl":"10.1007/s43441-024-00719-1","url":null,"abstract":"<p><p>Since 2019, the Association of Clinical Research Organizations has conducted a landscape survey of risk based quality management (RBQM) adoption in clinical trials. Here, we present data from four years of surveys, with an emphasis on the most recent: the 2022 survey included data from 4958 trials across seven contract research organizations, of which 1004 were new studies started in 2022. Results indicate that while overall risk assessment adoption is strong, it is lagging in other risk-based components which suggests companies are not deriving the full expected benefits of performing a risk assessment and mitigation process to their trials. The 2022 study also suggests new study starts showing promising traction, with adoption hovering near 50% for most RBQM elements. At the same time, the survey suggests industry has mixed views on the potential value of quality tolerance limits (QTLs). Ultimately, centralized monitoring is being underutilized despite the potential of increased patient safety oversight and improved data quality. The authors of this paper developed a case study based on a trial in clinicaltrials.gov to demonstrate how RBQM adoption could include the key RBQM elements such as centralized monitoring, reduced source data review and source data verification as well as implementation of QTLs in a real-world scenario. The authors believe the clinical trial industry has an obligation to utilize centralized monitoring to produce more efficient and effective clinical trials and will make a case to do so in this paper.</p>","PeriodicalId":23084,"journal":{"name":"Therapeutic innovation & regulatory science","volume":" ","pages":"199-210"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880074/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142814222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arndt A Schmitz, Miriam Font-Nieves, Toumani Doucouré, Hans-Peter Podhaisky
{"title":"Impact of Rule 11 on the European Medical Software Landscape: Analysis of EUDAMED and Further Databases Three Years After MDR Implementation.","authors":"Arndt A Schmitz, Miriam Font-Nieves, Toumani Doucouré, Hans-Peter Podhaisky","doi":"10.1007/s43441-025-00747-5","DOIUrl":"10.1007/s43441-025-00747-5","url":null,"abstract":"<p><p>Medicine is increasingly supported by software, with digital health technologies offering innovative ways to capture insights and drive therapies. Globally, medical device software must follow regulatory processes based on risk classification. The introduction of MDR represents a significant shift in risk-based classification for Medical Devices in Europe, including classification Rule 11 for software, which has caused significant discussions among European regulators. Three years after implementation, we conducted a systematic impact assessment of MDR classification Rule 11 for MDSW through a qualitative and quantitative analysis of over 2000 software entries from the European Medical Device database, complemented by data from other public databases such as the German DiGA directory and mHealthBELGIUM. Our results indicate that classification Rule 11 of the MDR results in a narrow bandwidth for class I software, whereas this used to be the most frequent classification for software under the MDD: while most of legacy software in EUDAMED falls in the lowest risk category as MDD Class I (53%), the situation reverses after the implementation of MDR with the most entries in Class IIa (55%). Analyzing the legacy MDD patient apps in Germany implies that three quarters will have to re-classify as MDR Class IIa at the end of the transition period in 2028. A comparison of the European and US regulatory landscapes, along with a systematic review of software features for Class I vs. Class IIa products, explains our findings and enables us to recommend a regulatory strategy for developing MDSW compliant with MDR Class I rules, ensuring fast access to the European market.</p>","PeriodicalId":23084,"journal":{"name":"Therapeutic innovation & regulatory science","volume":" ","pages":"365-378"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143060821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Helen W Sullivan, Kathryn J Aikin, Mihaela Johnson, Kate Ferriola-Bruckenstein
{"title":"Correction: Consumer Understanding of Prescription Drug Indications in Direct-to-Consumer Television Advertisements.","authors":"Helen W Sullivan, Kathryn J Aikin, Mihaela Johnson, Kate Ferriola-Bruckenstein","doi":"10.1007/s43441-024-00738-y","DOIUrl":"10.1007/s43441-024-00738-y","url":null,"abstract":"","PeriodicalId":23084,"journal":{"name":"Therapeutic innovation & regulatory science","volume":" ","pages":"398"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142955520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interim Clinical Trial Data: Who Can See What, and When?","authors":"Susan S Ellenberg, Yimei Li","doi":"10.1007/s43441-024-00728-0","DOIUrl":"10.1007/s43441-024-00728-0","url":null,"abstract":"<p><p>It has long been a basic principle of randomized clinical trials addressing serious outcomes and/or major public health issues that interim data should be inaccessible to investigators and to industry sponsors, with interim data reviewed on a regular basis by an independent data monitoring committee (DMC). Challenges to this principle may arise when sponsors and/or regulators perceive a need to review interim data while the trial remains ongoing-for example, when a trial is being considered for accelerated approval. In this paper we propose approaches that could minimize the extent of interim data that is made available to others while the trial continues.</p>","PeriodicalId":23084,"journal":{"name":"Therapeutic innovation & regulatory science","volume":" ","pages":"211-214"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142955524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Ethics of the \"Right-to-Try\" Movement in an Era of Regulatory Flux.","authors":"Neil Jain, David Ralston, Cheryl Erwin","doi":"10.1007/s43441-025-00758-2","DOIUrl":"10.1007/s43441-025-00758-2","url":null,"abstract":"<p><p>The Trickett Wendler, Frank Mongiello, Jordan McLinn, and Matthew Bellina Right to Try Act of 2017 signed on May 30, 2018 under President Trump has been championed by patient advocacy groups as a victory for individuals with life threatening illnesses willing to undergo experimental treatment. The act is not a novel idea, but rather a nuanced result of the previous attempts to challenge the US Food and Drug Administration's (FDA) authority on drug approval and distribution. Currently, right-to-try programs coexist with an already existing expanded access program run by the FDA. The difference is that right-to-try requests eliminate FDA guidance and authorization. The objectives of this study are to review prior historical challenges to the FDA and how they eventually influenced right-to-try movements, examine the law itself and its arguments written by advocates and critics, discuss how its implications fit into the current climate of regulatory flux, and propose the impacts it has on influencing patient care and the scientific process.</p>","PeriodicalId":23084,"journal":{"name":"Therapeutic innovation & regulatory science","volume":" ","pages":"256-263"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143256735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Five-Year Analysis of Market Share and Sales Growth for Original Drugs after Patent Expiration in Korea.","authors":"Minyoung Bae, Sung Ryul Shim, Dong-Wook Yang, Kyung-Bok Son, Sang-Won Lee","doi":"10.1007/s43441-025-00741-x","DOIUrl":"10.1007/s43441-025-00741-x","url":null,"abstract":"<p><strong>Introduction: </strong>The sales patterns of original drugs after patent expiration in Korea show a relatively high market share and continuous sales growth differently from those in the U.S. and European countries. This study aims to investigates a five-year sales pattern of original drugs after patent expiration in Korea using empirical data.</p><p><strong>Methods: </strong>Using data from the Ministry of Food and Drug Safety, original drugs whose patents expired in 2012-2018 were extracted. And we used IQVIA data to determine the market share and sales growth rate of 48 original drugs, whose generic drug launched for the first time in the same molecule market, and whose sales data over five years after first generic entry were available. We analyzed the differences by the attribute of variables.</p><p><strong>Results: </strong>The sales volume of original drugs in the fifth year (Q 20) had an average growth rate of 150.6% compared with that before the first generic drug launched, indicating a continuous growth. The average market share of original drugs in the fifth year (Q 20) decreased to 70.6%, but it was higher than previously reported research results in Korea and other countries. Differences were observed across the category of attribute.</p><p><strong>Conclusion: </strong>This study demonstrated that while market share of original drugs is decreasing, the sales volume increased continuously until the fifth year, differently from those of other countries. Variations in sales patterns by attributes reflect unique dynamics in Korea.</p>","PeriodicalId":23084,"journal":{"name":"Therapeutic innovation & regulatory science","volume":" ","pages":"349-358"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880101/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142955501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}