ArticlePloS one2013
SHRINE: enabling nationally scalable multi-site disease studies.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 2 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
78 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- An autism case history to review the systematic analysis of large-scale data to refine the diagnosis and treatment of neuropsychiatric disorders.Biological psychiatry · 2015Pooled it
- Clinical research data warehouse governance for distributed research networks in the USA: a systematic review of the literature.Journal of the American Medical Informatics Association : JAMIAPooled it
- Article
- A cross-consortium, stakeholder-driven model for implementing a modern electronic data capture and submission system across the Alzheimer's Disease Research Centers Program.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Accuracy of ICD-10 Codes for Suicidal Ideation and Action in Pediatric Emergency Department Encounters.Pediatric emergency care · 2025Article
- Development and Validation of Natural Language Processing Algorithms in the ENACT National Electronic Health Record Research Network.medRxiv : the preprint server for health sciences · 2025Article
- Development and validation of natural language processing algorithms in the national ENACT network.Journal of clinical and translational science · 2025Article
- Kineret: Israel's Largest Hospital Network Transformed into the OMOP common data model for collaborative research.PloS one · 2025Article
- Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Clinical Research Informatics: a Decade-in-Review.Yearbook of medical informatics · 2024Review
- Cumulus: A federated EHR-based learning system powered by FHIR and AI.medRxiv : the preprint server for health sciences · 2024Article
- OHDSI-compliance: a set of document templates facilitating the implementation and operation of a software stack for real-world evidence generation.Frontiers in medicine · 2024Article
- A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- The Stanford Medicine data science ecosystem for clinical and translational research.JAMIA open · 2023Article
- Analytics to monitor local impact of the Protecting Access to Medicare Act's imaging clinical decision support requirements.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Pathogenic variants in arteriopathy genes detected in a targeted sequencing study: Penetrance and 1-year outcomes after return of results.Genetics in medicine : official journal of the American College of Medical Genetics · 2022Article
- Electronic Health Record Data in Cancer Learning Health Systems: Challenges and Opportunities.JCO clinical cancer informatics · 2022Review
- Identifying long-term and imminent suicide predictors in a general population and a clinical sample with machine learning.BMC psychiatry · 2022Article
- Privacy-preserving data sharing infrastructures for medical research: systematization and comparison.BMC medical informatics and decision making · 2021Article
- Linking a Consortium-Wide Data Quality Assessment Tool with the MIRACUM Metadata Repository.Applied clinical informatics · 2021Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Results of medical research studies are often contradictory or cannot be reproduced. One reason is that there may not be enough patient subjects available for observation for a long enough time period. Another reason is that patient populations may vary considerably with respect to geographic and demographic boundaries thus limiting how broadly the results apply. Even when similar patient populations are pooled together from multiple locations, differences in medical treatment and record systems can limit which outcome measures can be commonly analyzed. In total, these differences in medical research settings can lead to differing conclusions or can even prevent some studies from starting. We thus sought to create a patient research system that could aggregate as many patient observations as possible from a large number of hospitals in a uniform way. We call this system the 'Shared Health Research Information Network', with the following properties: (1) reuse electronic health data from everyday clinical care for research purposes, (2) respect patient privacy and hospital autonomy, (3) aggregate patient populations across many hospitals to achieve statistically significant sample sizes that can be validated independently of a single research setting, (4) harmonize the observation facts recorded at each institution such that queries can be made across many hospitals in parallel, (5) scale to regional and national collaborations. The purpose of this report is to provide open source software for multi-site clinical studies and to report on early uses of this application. At this time SHRINE implementations have been used for multi-site studies of autism co-morbidity, juvenile idiopathic arthritis, peripartum cardiomyopathy, colorectal cancer, diabetes, and others. The wide range of study objectives and growing adoption suggest that SHRINE may be applicable beyond the research uses and participating hospitals named in this report.
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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.