ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2016
Identifying Family History and Substance Use Associations for Adult Epilepsy from the Electronic Health Record.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Evaluating the Inheritance Risk: Epilepsy Prevalence among Offspring of Adults with Epilepsy in a Tertiary Referral Epilepsy Center.Journal of clinical medicine · 2024Article
- Automated Detection of Substance-Use Status and Related Information from Clinical Text.Sensors (Basel, Switzerland) · 2022Article
- Combining information from a clinical data warehouse and a pharmaceutical database to generate a framework to detect comorbidities in electronic health records.BMC medical informatics and decision making · 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
6 authors.
Funding
Abstract
Epilepsy is a prevalent chronic neurological disorder afflicting about 50 million people worldwide. There is evidence of a strong relationship between familial risk factors and epilepsy, as well as associations with substance use. The goal of this study was to explore the interactions between familial risk factors and substance use based on structured data from the family and social history modules of an electronic health record system for adult epilepsy patients. A total of 8,957patients with 38,802 family history entries and 8,822 substance use entries were gathered and mined for associations at different levels of granularity for three age groupings (>18, 18-64, and ≥65 years old). Our results demonstrate the value of an association rule mining approach to validate knowledge of familial risk factors. The preliminary findings also suggest that substance use does not demonstrate significant association between social and familial risk factors for epilepsy.
Identifiers
27570679PMC5001738What 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.