ArticleBMJ paediatrics open2026
Diagnosis of the first seizure-like events in children from third-tier cities in southwestern China: a retrospective cohort study.
Article in BMJ paediatrics open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled 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.
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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- The association between maternal diabetes and the risk of epilepsy in offspring: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeizure-like events present a diagnostic challenge for paediatricians, particularly in third-tier cities in southwestern China. Although government initiatives have improved the accuracy of epilepsy diagnosis, substantial disparities persist between southwestern and eastern China. The aims of this study were to investigate clinical characteristics and prognosis of children with seizure-like events in resource-limited cities in southwestern China and to identify factors associated with future epilepsy.
methodsThis was a retrospective cohort study. We retrospectively reviewed the medical records of 519 children aged 23 days to 13.5 years who experienced seizure-like events. Demographic information, seizure characteristics, electroencephalograph (EEG) and brain MRI were collected. Epilepsy was diagnosed according to the International League Against Epilepsy criteria. Multivariate logistic regression was performed to determine independent predictors of epilepsy.
resultsWe enrolled 519 children in our hospital. Forty-five (45/263, 17.1%) patients were first diagnosed with seizures. At the first seizure presentation, 263 patients (50.7%) were diagnosed with epilepsy. The aetiology of these patients with epilepsy was more commonly unknown (166/263, 63.2%), followed by a genetic aetiology (65/263, 24.6%). Normal MRI and EEG findings were observed in 218 (42.0%) and 169 (32.6%) children, respectively. Seizure frequency, positive genetic test results, abnormal brain MRI and abnormal video-EEG were predictive of recurrent febrile seizures. Multivariate analysis revealed that high seizure frequency, abnormal video-EEG findings and structural brain abnormalities are key predictors of subsequent epilepsy in children.
conclusionsAlthough we aimed to identify risk factors applicable to resource-limited areas, we found that only high seizure frequency, abnormal video-EEG findings and structural brain MRI abnormalities independently predicted a subsequent diagnosis of epilepsy. These findings underscore the need for targeted paediatrician training, as well as increased financial investment in resource-limited rural areas to improve hospital infrastructure, in order to help reduce the epilepsy treatment gap.
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.