ArticleJournal of medical Internet research2020
Blockchain-Authenticated Sharing of Genomic and Clinical Outcomes Data of Patients With Cancer: A Prospective Cohort Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
19 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Blockchain in Health Information Systems: A Systematic Review.International journal of environmental research and public health · 2024Pooled it
- Systematic review and meta-analysis for a Global Patient co-Owned Cloud (GPOC).Nature communications · 2024Pooled it
- Blockchain applications in health care for COVID-19 and beyond: a systematic review.The Lancet. Digital health · 2021Pooled it
- Blockchain for Digital Health Governance: Evidence Gap Map and Scoping Review.Journal of medical Internet research · 2026Article
- Beyond REMS & PDMPs: A Proposed Framework for Next-Generation Opioid Regulation.Therapeutic innovation & regulatory science · 2026Review
- A scoping review of OMOP CDM adoption for cancer research using real world data.NPJ digital medicine · 2025Article
- Blockchain Applications in Core Healthcare Services: Patient Data, Research, and Institutional Processes.Blockchain in healthcare today · 2025Article
- Navigating Challenges and Opportunities in Multi-Omics Integration for Personalized Healthcare.Biomedicines · 2024Review
- Blockchain: What is the use case for physicians in 2024? A rapid review of the literature.Future healthcare journal · 2024Review
- Scalability Performance Analysis of Blockchain Using Hierarchical Model in Healthcare.Blockchain in healthcare today · 2024Article
- Role of Incentives in the Use of Blockchain-Based Platforms for Sharing Sensitive Health Data: Experimental Study.Journal of medical Internet research · 2023Article
- A scoping review of distributed ledger technology in genomics: thematic analysis and directions for future research.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Storing and analyzing a genome on a blockchain.Genome biology · 2022Article
- Blockchain in radiology research and clinical practice: current trends and future directions.La Radiologia medica · 2022Review
- Is blockchain ready for orthopaedics? A systematic review.Journal of clinical orthopaedics and trauma · 2021Review
- Sharing Biomedical Data: Strengthening AI Development in Healthcare.Healthcare (Basel, Switzerland) · 2021Article
- Blockchain in Health Care: Hope or Hype?Journal of medical Internet research · 2020Article
- Integration of Machine Learning and Blockchain Technology in the Healthcare Field: A Literature Review and Implications for Cancer Care.Asia-Pacific journal of oncology nursingArticle
- Is blockchain the breakthrough we are looking for to facilitate genomic data sharing? The European Union perspective.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundEfficiently sharing health data produced during standard care could dramatically accelerate progress in cancer treatments, but various barriers make this difficult. Not sharing these data to ensure patient privacy is at the cost of little to no learning from real-world data produced during cancer care. Furthermore, recent research has demonstrated a willingness of patients with cancer to share their treatment experiences to fuel research, despite potential risks to privacy.
objectiveThe objective of this study was to design, pilot, and release a decentralized, scalable, efficient, economical, and secure strategy for the dissemination of deidentified clinical and genomic data with a focus on late-stage cancer.
methodsWe created and piloted a blockchain-authenticated system to enable secure sharing of deidentified patient data derived from standard of care imaging, genomic testing, and electronic health records (EHRs), called the Cancer Gene Trust (CGT). We prospectively consented and collected data for a pilot cohort (N=18), which we uploaded to the CGT. EHR data were extracted from both a hospital cancer registry and a common data model (CDM) format to identify optimal data extraction and dissemination practices. Specifically, we scored and compared the level of completeness between two EHR data extraction formats against the gold standard source documentation for patients with available data (n=17).
resultsAlthough the total completeness scores were greater for the registry reports than those for the CDM, this difference was not statistically significant. We did find that some specific data fields, such as histology site, were better captured using the registry reports, which can be used to improve the continually adapting CDM. In terms of the overall pilot study, we found that CGT enables rapid integration of real-world data of patients with cancer in a more clinically useful time frame. We also developed an open-source Web application to allow users to seamlessly search, browse, explore, and download CGT data.
conclusionsOur pilot demonstrates the willingness of patients with cancer to participate in data sharing and how blockchain-enabled structures can maintain relationships between individual data elements while preserving patient privacy, empowering findings by third-party researchers and clinicians. We demonstrate the feasibility of CGT as a framework to share health data trapped in silos to further cancer research. Further studies to optimize data representation, stream, and integrity are required.
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