SynthesisMedical care2013
Privacy technology to support data sharing for comparative effectiveness research: a systematic review.
Synthesis in Medical care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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
20 citing papers in PubMed.
- A quantitative and qualitative assessment of differential privacy's ability to support collaborative research using a real-world data analysis.JAMIA open · 2025Article
- An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomes.Scientific reports · 2021Article
- Differential privacy in health research: A scoping review.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Evaluation of Automated Public De-Identification Tools on a Corpus of Radiology Reports.Radiology. Artificial intelligence · 2020Article
- Multiple imputation for analysis of incomplete data in distributed health data networks.Nature communications · 2020Article
- Big Data Privacy in Biomedical Research.IEEE transactions on big data · 2020Article
- EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Evaluation of Privacy Risks of Patients' Data in China: Case Study.JMIR medical informatics · 2020Article
- Enabling Privacy Preserving Record Linkage Systems Using Asymmetric Key Cryptography.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Privacy Policy and Technology in Biomedical Data Science.Annual review of biomedical data science · 2018Article
- Security controls in an integrated Biobank to protect privacy in data sharing: rationale and study design.BMC medical informatics and decision making · 2017Article
- What drives academic data sharing?PloS one · 2015Article
- Sharing with More Caring: Coordinating and Improving the Ethical Governance of Data and Biomaterials Obtained from Children.PloS one · 2015Article
- Privacy preserving RBF kernel support vector machine.BioMed research international · 2014Article
- A community assessment of privacy preserving techniques for human genomes.BMC medical informatics and decision making · 2014Article
- Development of a web service for analysis in a distributed network.EGEMS (Washington, DC) · 2014Article
- Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation.Frontiers in neuroinformatics · 2014Article
- Privacy preserving interactive record linkage (PPIRL).Journal of the American Medical Informatics Association : JAMIAReview
- pSCANNER: patient-centered Scalable National Network for Effectiveness Research.Journal of the American Medical Informatics Association : JAMIAArticle
- Data governance requirements for distributed clinical research networks: triangulating perspectives of diverse stakeholders.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
objectiveEffective data sharing is critical for comparative effectiveness research (CER), but there are significant concerns about inappropriate disclosure of patient data. These concerns have spurred the development of new technologies for privacy-preserving data sharing and data mining. Our goal is to review existing and emerging techniques that may be appropriate for data sharing related to CER. MATERIALS AND
methodsWe adapted a systematic review methodology to comprehensively search the research literature. We searched 7 databases and applied 3 stages of filtering based on titles, abstracts, and full text to identify those works most relevant to CER.
resultsOn the basis of agreement and using the arbitrage of a third party expert, we selected 97 articles for meta-analysis. Our findings are organized along major types of data sharing in CER applications (ie, institution-to-institution, institution hosted, and public release). We made recommendations based on specific scenarios. LIMITATION: We limited the scope of our study to methods that demonstrated practical impact, eliminating many theoretical studies of privacy that have been surveyed elsewhere. We further limited our study to data sharing for data tables, rather than complex genomic, set valued, time series, text, image, or network data.
conclusionState-of-the-art privacy-preserving technologies can guide the development of practical tools that will scale up the CER studies of the future. However, many challenges remain in this fast moving field in terms of practical evaluations and applications to a wider range of data types.
Indexed as
Identifiers
What OpenQuestion holds
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.