ArticleEpilepsia open2021
An epidemiological survey of epilepsy in tropical rural areas of China.
Article in Epilepsia open, 2021. 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, 6 citations in OpenAlex.
- Transcriptome profiling reveals major structural genes, transcription factors and biosynthetic pathways in refractory epilepsy in tropical region of China.BMC neurology · 2025Article
- Status of epilepsy in the tropics: An overlooked perspective.Epilepsia open · 2023Review
- An epidemiological survey of epilepsy in tropical rural areas of China.Epilepsia open · 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
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveEpilepsy is a chronic neurological disease that is characterized by seizures. Seizure episodes, stigma, and high medical costs associated with this condition caused significant psychological distress. This study aimed to evaluate epidemiological characteristics and treatment status of epilepsy in individuals existing in the tropical rural areas of Hainan Province of China.
methodsA household survey on epilepsy was conducted among the rural population of Chengmai County, Danzhou City, Baoting Autonomous County (Li and Miao nationalities), and Dingan County in Hainan Province, China. A screening questionnaire based on the standard screening questionnaires of the World Health Organization (WHO) was designed and a screening instrument of International Community-based Epilepsy Research Group was used. Individuals suspected or previously diagnosed with epilepsy were reexamined by an experienced neurologist. Further clinical data were collected from subjects with confirmed diagnosis of epilepsy.
resultsThis study included 16 676 subjects with 8827 men (52.93%) and 7849 women (47.07%). Majority of the study subjects included were of Han Chinese (N = 13 145, 78.83%), and the remaining were of Li minority ethnicity. The incidence of epilepsy was 0.24 per 1000, and the total prevalence of active epilepsy was 2.33 per 1000. The prevalence of epilepsy in the Han and Li nationalities was 3.27 and 2.27 per 1000, respectively, which was shown to be higher in people aged ≥ 60. The initial onset of epilepsy tended to trigger among children aged between 0 and 9 years old. Initial assessment revealed that the treatment gap for active epilepsy was 58.97%, and stroke is shown as the most common cause of symptomatic epilepsy. SIGNIFICANCE: The prevalence and incidence of epilepsy in tropical rural areas of Hainan Province were close to those of the earlier findings that are reported in other regions of China and lower than those remaining in the tropical areas around the world. There exists a huge treatment gap for active epilepsy, which indicates an urgent need for a rational intervention strategy.
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.