ArticleJAMIA open2020
Spot the difference: comparing results of analyses from real patient data and synthetic derivatives.
Article in JAMIA open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
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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.
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Who cites it
44 citing papers in PubMed.
- Innovative strategies to reduce heart failure hospitalizations: insights from the ESC heart failure congress 2026.Heart failure reviews · 2026Review
- Privacy and Security Throughout the Health Data Life Cycle: From Primary Care to Research Networks.Annual review of biomedical data science · 2026Review
- Generating synthetic multi-national longitudinal cohorts for clinically grounded HIV research.Nature communications · 2026Article
- Increased risk of knee osteoarthritis progressing to total knee arthroplasty following patella fractures: an age stratified population analysis.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2026Article
- A call for principle-based acceptance of synthetic patients: establishing the AI-driven foundation for regulatory submissions.Frontiers in digital health · 2026Review
- Crossing borders securely: synthetic data and federated networks for privacy-preserving access to real-world data and emerging use cases.NPJ digital medicine · 2025Review
- Generating Synthetic Multi-national Longitudinal Cohorts for Clinically Grounded HIV Research.medRxiv : the preprint server for health sciences · 2025Article
- A consensus privacy metrics framework for synthetic data.Patterns (New York, N.Y.) · 2025Article
- Treatment disparities and prognostic implications in octogenarians versus non-octogenarians with high-gradient severe aortic stenosis.Open heart · 2025Article
- Statin Treatment for Reducing Mortality Risk in Individuals over 75 Years of Age: A Large-Scale Retrospective Analysis.Journal of clinical medicine · 2025Article
- Can Synthetic Data Allow for Smaller Sample Sizes in Chronic Urticaria Research?Clinical and translational allergy · 2025Article
- Big data for neuroscience in the context of predictive, preventive, and personalized medicine.The EPMA journal · 2025Review
- A scoping review of privacy and utility metrics in medical synthetic data.NPJ digital medicine · 2025Article
- Review
- Actionability of Synthetic Data in a Heterogeneous and Rare Health Care Demographic: Adolescents and Young Adults With Cancer.JCO clinical cancer informatics · 2024Article
- The Association Between Elevated Thyroid-Stimulating Hormone Levels and Prolonged Length of Stay Among Adult Diabetic Patients Hospitalized in Internal Medicine Departments: A Large Historical Cohort Study.Journal of clinical medicine · 2024Article
- Synthetic data and ELSI-focused computational checklists-A survey of biomedical professionals' views.PLOS digital health · 2024Article
- Insulin Resistance and Impaired Insulin Secretion Predict Incident Diabetes: A Statistical Matching Application to the Two Korean Nationwide, Population-Representative Cohorts.Endocrinology and metabolism (Seoul, Korea) · 2024Article
- Synthetic data can aid the analysis of clinical outcomes: How much can it be trusted?Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Clinical Research Informatics: a Decade-in-Review.Yearbook of medical informatics · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSynthetic data may provide a solution to researchers who wish to generate and share data in support of precision healthcare. Recent advances in data synthesis enable the creation and analysis of synthetic derivatives as if they were the original data; this process has significant advantages over data deidentification.
objectivesTo assess a big-data platform with data-synthesizing capabilities (MDClone Ltd., Beer Sheva, Israel) for its ability to produce data that can be used for research purposes while obviating privacy and confidentiality concerns.
methodsWe explored three use cases and tested the robustness of synthetic data by comparing the results of analyses using synthetic derivatives to analyses using the original data using traditional statistics, machine learning approaches, and spatial representations of the data. We designed these use cases with the purpose of conducting analyses at the observation level (Use Case 1), patient cohorts (Use Case 2), and population-level data (Use Case 3).
resultsFor each use case, the results of the analyses were sufficiently statistically similar ( DISCUSSION AND
conclusionThis article presents the results of each use case and outlines key considerations for the use of synthetic data, examining their role in clinical research for faster insights and improved data sharing in support of precision healthcare.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.