Evidence map›Paper›PMID 39446076›Full record

ReviewEpileptic disorders : international epilepsy journal with videotape2024

Big data research is everyone's research-Making epilepsy data science accessible to the global community: Report of the ILAE big data commission.

Colin B Josephson, Eleonora Aronica, Sandor Beniczky, Danielle Boyce, Gianpiero Cavalleri, Spiros Denaxas, Jacqueline French, Lara Jehi, Hyunyong Koh, Patrick Kwan and 10 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Epileptic disorders : international epilepsy journal with videotape, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

20 authors.

Colin B JosephsonDepartment of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0001-7052-1651
Eleonora AronicaDepartment of (Neuro)Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Sandor BeniczkyDepartment of Neurology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.ORCID https://orcid.org/0000-0002-6035-6581
Danielle BoyceTufts University School of Medicine, Boston, Massachusetts, USA.
Gianpiero CavalleriSchool of Pharmacy and Biomolecular Sciences, The Royal College of Surgeons in Ireland, Dublin, Ireland.ORCID https://orcid.org/0000-0002-9802-0506
Spiros DenaxasInstitute for Health Informatics, University College London, London, UK.
Jacqueline FrenchDepartment of Neurology, Grossman School of Medicine, New York University, New York, New York, USA.ORCID https://orcid.org/0000-0003-2242-8027
Lara JehiEpilepsy Center, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-8041-6377
Hyunyong KohHarvard Brain Science Initiative, Harvard University, Boston, Massachusetts, USA.
Patrick KwanDepartment of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-7310-276X
Carrie McDonaldDepartment of Radiation Medicine and Applied Sciences & Psychiatry, University of California, San Diego, California, USA.
James W MitchellInstitute of Systems, Molecular and Integrative Biology (ISMIB), University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0000-0002-6465-0382
Stefan RamppDepartment of Neurosurgery and Department of Neuroradiology, University Hospital Erlangen, Department of Neurosurgery, University Hospital Halle (Saale), Halle (Saale), Germany.ORCID https://orcid.org/0000-0002-4826-1520
Lynette SadleirDepartment of Paediatrics and Child Health, University of Otago, Wellington, New Zealand.ORCID https://orcid.org/0000-0002-5355-7115
Sanjay M SisodiyaDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London WC1N 3BG and Chalfont Centre for Epilepsy, London, UK.ORCID https://orcid.org/0000-0002-1511-5893
Irene WangEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-3829-5217
Samuel WiebeDepartment of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-1061-9099
Clarissa YasudaDepartment of Neurology, University of Campinas, Campinas, Brazil.
Brett YoungermanDepartment of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.ORCID https://orcid.org/0000-0002-4792-3190
ILAE Big Data Commission

Funding

Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages to Equity in Health (CLE Health)UM1TR004528 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI GRACE A MCCOMSEY · 2023 to 2026
$32.1M
NCATS NIH HHS UM1 TR004528
6 · The paper itself

Abstract

Epilepsy care generates multiple sources of high-dimensional data, including clinical, imaging, electroencephalographic, genomic, and neuropsychological information, that are collected routinely to establish the diagnosis and guide management. Thanks to high-performance computing, sophisticated graphics processing units, and advanced analytics, we are now on the cusp of being able to use these data to significantly improve individualized care for people with epilepsy. Despite this, many clinicians, health care providers, and people with epilepsy are apprehensive about implementing Big Data and accompanying technologies such as artificial intelligence (AI). Practical, ethical, privacy, and climate issues represent real and enduring concerns that have yet to be completely resolved. Similarly, Big Data and AI-related biases have the potential to exacerbate local and global disparities. These are highly germane concerns to the field of epilepsy, given its high burden in developing nations and areas of socioeconomic deprivation. This educational paper from the International League Against Epilepsy's (ILAE) Big Data Commission aims to help clinicians caring for people with epilepsy become familiar with how Big Data is collected and processed, how they are applied to studies using AI, and outline the immense potential positive impact Big Data can have on diagnosis and management.

Indexed as

Big DataData ScienceEpilepsyArtificial IntelligenceHumansartificial intelligencebig datacommon data modelsepilepsyethics

Identifiers

PMID39446076
PMCPMC11651381

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.