ArticleClinical and translational science2022
Evaluation of a blockchain-based dynamic consent platform (METORY) in a decentralized and multicenter clinical trial using virtual drugs.
Article in Clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Blockchain-Based Dynamic and Revocable Consent for Secondary Health Data Use: Systematic Review.JMIR medical informatics · 2026Pooled it
- Pioneering a Hybrid Decentralized Clinical Trial in South Korea: Assessing Feasibility, Data Integrity, and Participant Perceptions.Clinical and translational science · 2026Trial
- Integrating Personal Health Records to Improve Data Integrity in Trials With Decentralized Elements: A Pilot Study.Clinical and translational science · 2025Trial
- Feasibility study for a fully decentralized clinical trial in participants with functional constipation symptoms.Clinical and translational science · 2023Trial
- Exploration of smart adherence-monitoring methods in vitamin D-deficient patients: A pilot feasibility clinical study.Clinical and translational science · 2023Trial
- Blockchain for Digital Health Governance: Evidence Gap Map and Scoping Review.Journal of medical Internet research · 2026Article
- Cross-sectional analysis of sociodemographic factors associated with self-reported and knowledge-based health literacy in Korea using data from KNHANES 2023.Scientific reports · 2025Article
- Integrating population-based biobanks: Catalyst for advances in precision health.Computational and structural biotechnology journal · 2024Article
- Evaluation of a blockchain-based dynamic consent platform (METORY) in a decentralized and multicenter clinical trial using virtual drugs.Clinical and translational science · 2022Article
- METORY: Development of a Demand-Driven Blockchain-Based Dynamic Consent Platform Tailored for Clinical Trials.Frontiers in medicine · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Blockchain is a novel data architecture characterized by a chronological sequence of blocks in a decentralized manner. We aimed to evaluate the real-world feasibility of a blockchain-based dynamic consent platform (METORY) in a decentralized and multicenter trial. The study consisted of three visits (i.e., screening and 2 follow-up visits) with a 2-week interval. Each subject was required to report the self-measured body temperatures and take a virtual investigational drug by entering the unique drug code on the application. To simulate real-world study settings, two major (i.e., changes in the schedule of body temperature measurement) and three minor protocol amendments (i.e., nonsignificant changes without any changes in the procedures) were set. Overall study completion rates, proportion of consent, and response time to each protocol amendment and adherence were evaluated. A total of 60 subjects (30 in each center) were enrolled in two study centers. All subjects completed the study, and the overall proportion of consent to each protocol amendment was 95.7 ± 13.7% (mean ± SD), with a median response time of 0.2 h. Overall, subjects took 90.8% ± 19.2% of the total drug, whereas compliance with the schedule was 69.1% ± 27.0%. Subjects reported 96.7% ± 4.2% of the total body temperature measurements whereas the adherence to the schedule was 59.0% ± 25.0%, which remarkably decreased after major protocol amendments. In conclusion, we evaluated a blockchain-based dynamic consent platform in real clinical trial settings. The results suggested that major changes should be avoided unless subjects' proper understanding is warranted.
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