Clinician Feedback Regarding Novel Graphical Risk Prediction Tools for Antiseizure Medication Discontinuation
Our results provide vital feedback to direct future risk prediction tool development efforts. Although some preferred numerical-only presentations for their simplicity, others cited that graphical displays have many advantages regarding clarity and amount of information. Future studies will also require patient input.
Authors
- Jordan M. Silva (ORCID: https://orcid.org/0000-0002-3115-3056)
- Samuel W. Terman (ORCID: https://orcid.org/0000-0001-6179-9467)
- Max Kuster (ORCID: https://orcid.org/0000-0002-6697-7813)
- Shawna N. Smith (ORCID: https://orcid.org/0000-0003-3526-3129)
- Chloé E. Hill (ORCID: https://orcid.org/0000-0001-5307-4167)
- Lara E. Jehi (ORCID: https://orcid.org/0000-0002-8041-6377)
- James Burke (ORCID: https://orcid.org/0000-0002-2296-1588)
- Charlotte J.J. van Asch (ORCID: https://orcid.org/0009-0004-0084-9829)
- Arthur C. Grant (ORCID: https://orcid.org/0000-0002-0509-8065)
- Susanna S. O’Kula
- Micaela Q. Dugan (ORCID: https://orcid.org/0000-0001-7032-3145)
- Navya Kalia
Institutions
- Maimonides Medical Center (US)
- SUNY Downstate Health Sciences University (US)
- University of Michigan (US)
- Innofeet (NL)
- Epilepsy Foundation (AU)
- Department of Health Services (US)
- The Ohio State University (US)
Publication Details
- Journal
- Neurology Clinical Practice
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1212/cpj.0000000000200540
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00