2022
DOI: 10.1016/j.eclinm.2022.101732
|View full text |Cite
|
Sign up to set email alerts
|

Individualised prediction of drug resistance and seizure recurrence after medication withdrawal in people with juvenile myoclonic epilepsy: A systematic review and individual participant data meta-analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
18
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6

Relationship

3
3

Authors

Journals

citations
Cited by 19 publications
(20 citation statements)
references
References 61 publications
2
18
0
Order By: Relevance
“…Moreover, we highlighted for the first time the impact of catamenial seizures on seizure outcome in EEM, similarly to what has been increasingly observed in other GGE syndromes, particularly in JME 5–7 …”
Section: Discussionsupporting
confidence: 79%
See 3 more Smart Citations
“…Moreover, we highlighted for the first time the impact of catamenial seizures on seizure outcome in EEM, similarly to what has been increasingly observed in other GGE syndromes, particularly in JME 5–7 …”
Section: Discussionsupporting
confidence: 79%
“…Moreover, we highlighted for the first time the impact of catamenial seizures on seizure outcome in EEM, similarly to what has been increasingly observed in other GGE syndromes, particularly in JME. [5][6][7] Finally, when comparing the discriminative ability of the logistic regression models, we found a better AUC in females compared to male patients, suggesting that other unmeasured variables could play a role in the development of drug resistance in male EEM patients.…”
Section: Discussionmentioning
confidence: 67%
See 2 more Smart Citations
“…Baseline clinical characteristics were computed using nonimputed data. Missing data were handled with multiple imputations with chained equations, imputing both outcome and predictors . The rate of missing data for all variables is shown in the eFigure in Supplement 1.…”
Section: Methodsmentioning
confidence: 99%