ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2020
Idiopathic (genetic) generalized epilepsies with absences: clinical and electrographic characteristics and seizure outcome.
Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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
3 citing papers in PubMed, 14 citations in OpenAlex.
- Co-occurrence of childhood absence epilepsy and self-limited focal epilepsy interictal discharges: Differences from childhood absence epilepsy alone.Epileptic disorders : international epilepsy journal with videotape · 2025Article
- Thalamocortical circuits in generalized epilepsy: Pathophysiologic mechanisms and therapeutic targets.Neurobiology of disease · 2023Review
- Sex differences in characteristics of idiopathic generalized epilepsies.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
purposeWe compared various syndromes of idiopathic (genetic) generalized epilepsy (IGE) with absences based on their demographic, clinical, and electroencephalographic (EEG) findings, and their seizure outcome.
methodsIn this retrospective study, all patients with a clinical diagnosis of childhood absence epilepsy (CAE), juvenile absence epilepsy (JAE), idiopathic epilepsy with phantom absences (PAs), and Jeavons syndrome (JS) were recruited at the outpatient epilepsy clinic at Shiraz University of Medical Sciences, from 2008 until 2019. Age, gender, age at seizure onset, seizure type(s), epilepsy risk factors, history of seizure-related injuries, EEG findings, and seizure outcome of all patients were registered routinely.
resultsSix hundred one patients with IGE were registered at our epilepsy clinic. Two hundred thirteen patients (35.4%) were diagnosed as having IGE with absences [111 patients (52.1%) had JAE, 82 patients (38.5%) had CAE, 12 people (5.6%) had JS, and eight patients (3.8%) had PA]. A history of experiencing generalized tonic-clonic seizures and a history of seizure-related injury were significantly different between the syndromes. There were no significant differences between the syndromes with regard to their EEG findings. Seizure outcome showed a trend to be different between the syndromes of IGE (p = 0.06).
conclusionSyndromes of IGE with absences are common occurrences at epilepsy clinics. Making a syndromic diagnosis could have significant clinical implications. In doing so, interictal EEG cannot differentiate between different syndromes of IGE and the key element in making a correct syndromic diagnosis is a detailed clinical history.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.