ArticleEGEMS (Washington, DC)2016
Bidirectional Data Collaborations in Distributed Research.
Article in EGEMS (Washington, DC), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Leveraging the Capabilities of the FDA's Sentinel System To Improve Kidney Care.Journal of the American Society of Nephrology : JASN · 2020Review
- Review of Clinical Research Informatics.Yearbook of medical informatics · 2020Review
- Reimagining the research-practice relationship: policy recommendations for informatics-enabled evidence-generation across the US health system.JAMIA open · 2019Article
- Validation of a claims-based algorithm identifying eligible study subjects in the ADAPTABLE pragmatic clinical trial.Contemporary clinical trials communications · 2018Article
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
No grant is acknowledged in the PubMed record.
Abstract
introductionThe need for collaborations with bidirectional data exchange within and across distributed research networks has increased. CURRENTLY EXISTING ACTIVITIES: This commentary will present currently publically available activities including the Sentinel Initiative, the Patient-Centered Outcomes Research Network (PCORnet), and the NIH Research Collaboratory. CURRENT TECHNICAL AND GOVERNANCE CHALLENGES: Even with the advances made in this arena, several technical and governance challenges remain including the evolution of clinically rich data sources and modes of care, availability of longitudinal data resources through data linkage, and the processes to share data and link data resources while ensuring privacy and proprietary control of data. PERSPECTIVE: These activities will require enhanced levels of trust between entities involved in the delivery of healthcare (Trust 2.0) in addition to the trust health plans and health systems have with patients (Trust 1.0). Recent public funding announcements and public access to data resources will likely improve the landscape of bidirectional data collaborations in distributed research.
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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.