ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2016
ODaCCI: Ontology-guided Data Curation for Multisite Clinical Research Data Integration in the NINDS Center for SUDEP Research.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application.BMC medical informatics and decision making · 2024Article
- Can Big Data guide prognosis and clinical decisions in epilepsy?Epilepsia · 2021Review
- Amplifying Domain Expertise in Clinical Data Pipelines.JMIR medical informatics · 2020Article
- Machine learning applications in epilepsy.Epilepsia · 2019Review
- The National Sleep Research Resource: towards a sleep data commons.Journal of the American Medical Informatics Association : JAMIA · 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
5 authors.
Funding
Abstract
Sudden Unexpected Death in Epilepsy (SUDEP) is the leading mode of epilepsy-related death. The Center for SUDEP Research (CSR) is an NINDS-funded Center Without Wall's initiative aimed at prospectively creating a comprehensive clinical research resource for SUDEP. This resource consists of a growing set of data and biological samples of a statistically significant cohort of patients at an elevated risk, best represented by the Epilepsy Monitoring Unit (EMU) patient population. The Informatics and Data Analytics Core (IDAC) of CSR has developed a state-of-the- art informatics infrastructure, to integrate patient data captured in multiple EMU's at a greatly accelerated pace. Data quality assurance is a priority of IDAC. This paper reports our approach, Ontology-guided Data Curation for Multisite Clinical Research Data Integration (ODaCCI), to address the challenging task of centralized data curation while new data is continuously generated and integrated from distributed sites. ODaCCI leverages the Epilepsy and Seizure Ontology not only for upstream data capture, but also for supporting a range of quality assurance tasks such as data quality monitoring, data update, and data reports. Between October 2014 and February 2016, ODaCCI has integrated phenotypic and electroencephalogram signal data of 629 patients from 7 clinical sites, while supporting continuous and asynchronous data quality enhancement overtime.
Indexed as
Identifiers
28269839PMC5333343What 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.