Evidence map›Paper›PMID 40502567›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Does missing medication acutely change seizure risk? A prospective study.

Daniel M Goldenholz, Joshua C Cheng, Chi-Yuan Chang, Robert Moss, M Brandon Westover

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Daniel M GoldenholzDepartment of Neurology, Harvard Medical School, Boston, MA.ORCID 0000-0002-8370-2758
Joshua C ChengDepartment of Neurology, Harvard Medical School, Boston, MA.
Chi-Yuan ChangDepartment of Neurology, Harvard Medical School, Boston, MA.
Robert MossSeizure Tracker LLC, Springfield VA.
M Brandon WestoverDepartment of Neurology, Harvard Medical School, Boston, MA.

Funding

Data-Driven Sleep Biomarkers of Brain Health, Heart Health, and MortalityR01HL161253 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CLIFFORD, GARI DAVID, MIGNOT, EMMANUEL J · 2022 to 2025
$8.3M
Comparative Safety of Seizure Prophylaxis within the Medicare ProgramR01AG073410 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Lidia Maria Veras Rocha de Moura · 2021 to 2026
$4.1M
Low Neurophysiologic Resistance to Anesthetics as a Marker of Preclinical/Prodromal Alzheimer's Disease and Neurovascular Pathology, Delirium risk and InattentionR01AG073598 · NIA · STANFORD UNIVERSITY · PI Miles Berger · 2022 to 2026
$3.8M
Integrative Motor Activity Biomarker for the Risk of Alzheimer's RiskRF1AG064312 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, KUN · 2019 to 2019
$3.6M
Multimodal Network Connectivity Architecture (MOCA) of the Brain and its Role in the Recovery of Consciousness in Comatose Cardiac Arrest PatientsR01NS102574 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GREER, DAVID MATTHEW, WU, ONA · 2018 to 2022
$3.4M
Investigation of Sleep in the Intensive Care Unit (ICU-SLEEP)R01NS102190 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$3.2M
Prospective Validation of Neurophysiologic Outcome Prediction in Acute Brain InjuryR01NS126282 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Aaron F Struck, Michael Brandon Westover · 2023 to 2026
$2.9M
Big Data and Deep Learning for the Interictal-Ictal-Injury ContiuumR01NS107291 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$2.8M
Establishing a Brain Health Index from the Sleep ElectroencephalogramRF1NS120947 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S, THOMAS, ROBERT JOSEPH · 2021 to 2021
$2.4M
Non-Invasive Seizure Forecasting System Using E-Diaries, Internal and External FactorsK23NS124656 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Daniel M Goldenholz · 2022 to 2026
$954k
NHLBI NIH HHS R01 HL161253NIA NIH HHS R01 AG073410NIA NIH HHS R01 AG073598NIA NIH HHS RF1 AG064312NINDS NIH HHS K23 NS124656NINDS NIH HHS R01 NS102190NINDS NIH HHS R01 NS102574NINDS NIH HHS R01 NS107291NINDS NIH HHS R01 NS126282NINDS NIH HHS RF1 NS120947
6 · The paper itself

Abstract

Importance: Medication adherence is widely emphasized in epilepsy management, with a belief that missing even single doses can trigger seizures. However, scientific evidence supporting this specific claim is limited, particularly regarding the impact of occasional missed doses rather than prolonged non-adherence. Objective: To determine whether missing individual doses of anti-seizure medications (ASMs) increases short-term seizure risk in people with drug-resistant epilepsy. Design: Prospective cohort study conducted over 10 months for each participant, with data collected from March 2022 through January 2023. Analysis was performed in February 2023. Setting: Community-based study with participants recruited via emails and online services. Participants: Adults with drug-resistant epilepsy experiencing 3 or more seizures per month, or adult caregivers of pediatric patients meeting these criteria. Participants used mobile applications to document both seizure occurrences and medication adherence. Exposure: Daily documentation of ASM doses, with missed doses categorized as 0 (no missed doses), 1 (one missed administration period), or 2 (two missed administration periods) per day. Main Outcomes and Measures: 27 participants (median age 29) were followed. The relationship between seizure occurrence and missed ASM doses was assessed using mixed-effects logistic regression models, controlling for baseline seizure risk using a 90-day moving average (the "Napkin method"). Various time windows for missed doses and analyses accounting for medication half-lives were examined. Results: The Napkin method for seizure risk was significantly related to seizure occurrence (p<0.001). However, missed ASM doses the day prior showed no significant relationship with seizure occurrence (p = 0.68). This lack of association persisted when examining longer time windows of missed doses and when accounting for medication half-lives. Sensitivity analyses demonstrated that the statistical approach could detect even small effects (5% increased seizure probability) of missed medication, confirming that the negative finding was less likely due to methodology. Conclusions and Relevance: While long-term medication non-adherence remains an important concern in epilepsy management, this study found no evidence that occasionally missing ASM doses significantly increases short-term seizure risk. These findings suggest that clinicians might reasonably reassure patients that infrequent missed doses may not dramatically impact immediate seizure likelihood, though consistent medication adherence should still be encouraged.

Indexed as

forecastmedication adherenceprospectiveseizure

Identifiers

PMID40502567
PMCPMC12155017

What OpenQuestion holds

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Registered trials

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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.