Trial reportNeurology2018
Identification of patients who will not achieve seizure remission within 5 years on AEDs.
Trial report in Neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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
5 citing papers in PubMed.
- A population-based study to develop juvenile arthritis case definitions for administrative health data using model-based dynamic classification.BMC medical research methodology · 2021Article
- Comparison of topological properties of functional brain networks with graph theory in temporal lobe epilepsy with different duration of disease.Annals of translational medicine · 2020Article
- Evaluation of Fear in Idiopathic Epilepsy Using Population-Based Survey and Bhalla-Gharagozli Fear in Epilepsy Questionnaire (BG-FEQ).Neuropsychiatric disease and treatment · 2020Article
- Medication Beliefs and Adherence to Antiseizure Medications.Neurology research international · 2020Article
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Authors and funding
6 authors.
Funding
Abstract
objectiveTo identify people with epilepsy who will not achieve a 12-month seizure remission within 5 years of starting treatment.
methodsThe Standard and New Antiepileptic Drug (SANAD) study is the largest prospective study in patients with epilepsy to date. We applied a recently developed multivariable approach to the SANAD dataset that takes into account not only baseline covariates describing a patient's history before diagnosis but also follow-up data as predictor variables.
resultsChanges in number of seizures and treatment history were the most informative time-dependent predictors and were associated with history of neurologic insult, epilepsy type, age at start of treatment, sex, and having a first-degree relative with epilepsy. Our model classified 95% of patients. Of those classified, 95% of patients observed not to achieve remission at 5 years were correctly classified (95% confidence interval [CI] 89.5%-100%), with 51% identified by 3 years and 90% within 4 years of follow-up. Ninety-seven percent (95% CI 93.3%-98.8%) of patients observed to achieve a remission within 5 years were correctly classified. Of those predicted not to achieve remission, 76% (95% CI 58.5%-88.2%) truly did not achieve remission (positive predictive value). The predictive model achieved similar accuracy levels via external validation in 2 independent United Kingdom-based datasets.
conclusionOur approach generates up-to-date predictions of the patient's risk of not achieving seizure remission whenever new clinical information becomes available that could influence patient counseling and management decisions.
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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.