Evidence map›Paper›PMID 29604050›Full record

ArticleEpilepsia2018

Common data elements for epilepsy mobile health systems.

Daniel M Goldenholz, Robert Moss, David A Jost, Nathan E Crone, Gregory Krauss, Rosalind Picard, Chiara Caborni, Jose E Cavazos, John Hixson, Tobias Loddenkemper and 12 more

Registry-linked trialAbstract readConsensus Statement
PubMed Full text at PMC Publisher
In one paragraph

Article in Epilepsia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05574725 (Assessment of the Predictive Value of Outpatient Smartphone Videos in Diagnosis of Epileptic Seizures), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT05574725 unknown statusnot on this mapstarted 2022, after this paper: background citation

Assessment of the Predictive Value of Outpatient Smartphone Videos in Diagnosis of Epileptic Seizures

TypeobservationalSponsorAssiut UniversityRan2022 to 2023Enrolled84ConditionsValue of Smartphone in EpilepsyArmsSmartphone
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Daniel M GoldenholzDivision of Epilepsy, Beth Israel Deaconess Medical Center, Boston, MA, USA.ORCID 0000-0002-8370-2758
Robert MossSeizureTracker, Alexandria, VA, USA.
David A JostDigital Strategy, Epilepsy Foundation, Landover, MD, USA.
Nathan E CroneDepartment of Neurology, Johns Hopkins University, Baltimore, MD, USA.
Gregory KraussDepartment of Neurology, Johns Hopkins University, Baltimore, MD, USA.
Rosalind PicardEmpatica, Milan, Italy.
Chiara CaborniEmpatica, Milan, Italy.
Jose E CavazosBrain Sentinel, San Antonio, TX, USA.
John HixsonDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Tobias LoddenkemperDivision of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Boston, MA, USA.
Tracy Dixon SalazarLGS Foundation, San Diego, CA, USA.
Laura LubbersCitizens United for Research in Epilepsy, Chicago, IL, USA.
Lauren C Harte-HargroveCitizens United for Research in Epilepsy, Chicago, IL, USA.
Vicky WhittemoreExtramural Program Office, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Rockville, MD, USA.
Jonas Duun-HenriksenUNEEG Medical, Lynge, Denmark.
Eric DolanNeutun Labs, BMOS, Toronto, Ontario, Canada.
Nitish KasturiaNeutun Labs, BMOS, Toronto, Ontario, Canada.
Mark OberemkNeutun Labs, BMOS, Toronto, Ontario, Canada.
Mark J CookDepartment of Neurology, University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-8875-4135
Mark LehmkuhleEpiTel, Salt Lake City, UT, USA.
Michael R SperlingDepartment of Neurology, Thomas Jefferson University, Philadelphia, PA, USA.
Patricia O ShaferDivision of Epilepsy, Beth Israel Deaconess Medical Center, Boston, MA, USA.

Funding

Intramural NIH HHS Z99 NS999999
6 · The paper itself

Abstract

objectiveCommon data elements (CDEs) are currently unavailable for mobile health (mHealth) in epilepsy devices and related applications. As a result, despite expansive growth of new digital services for people with epilepsy, information collected is often not interoperable or directly comparable. We aim to correct this problem through development of industry-wide standards for mHealth epilepsy data.

methodsUsing a group of stakeholders from industry, academia, and patient advocacy organizations, we offer a consensus statement for the elements that may facilitate communication among different systems.

resultsA consensus statement is presented for epilepsy mHealth CDEs. SIGNIFICANCE: Although it is not exclusive, we believe that the use of a minimal common information denominator, specifically these CDEs, will promote innovation, accelerate scientific discovery, and enhance clinical usage across applications and devices in the epilepsy mHealth space. As a consequence, people with epilepsy will have greater flexibility and ultimately more powerful tools to improve their lives.

Indexed as

EpilepsyTerminology as TopicCommon Data ElementsHumansNeurologyTelemedicinecommon data elementsdevicesepilepsymHealthseizure diarystandards

Identifiers

PMID29604050
PMCPMC5934312

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.