Evidence map›Paper›PMID 29302325›Full record

SynthesisJournal of global health2017

Prevalence of epilepsy in China between 1990 and 2015: A systematic review and meta-analysis.

Peige Song, Yezhou Liu, Xinwei Yu, Jingjing Wu, Adrienne N Poon, Alessandro Demaio, Wei Wang, Igor Rudan, Kit Yee Chan, Global Health Epidemiology Research Group (GHERG)

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of global health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 5 pooled it
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1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  5. Methylenetetrahydrofolate reductase C677T polymorphism and susceptibility to epilepsy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Peige SongCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Scotland, UK.
Yezhou LiuBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
Xinwei YuBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
Jingjing WuBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
Adrienne N PoonCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Scotland, UK.
Alessandro DemaioHarvard Global Equity Initiative, Harvard Medical School, Boston, Massachusetts, USA.
Wei WangBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
Igor RudanCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Scotland, UK.
Kit Yee ChanCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Scotland, UK.
Global Health Epidemiology Research Group (GHERG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpilepsy is a major neurological disorder that affects approximately 65 million people worldwide. Globally, the burden of epilepsy is not evenly distributed, with more than 80% of sufferers residing in low- and middle-income countries. This study estimates the burden of epilepsy in mainland China from 1990 to 2015 and explores the variations of burden by age and gender.

methodsWe conducted a systematic review of the peer-reviewed literature from 1990 to 2015 using Chinese and English academic databases (CNKI, WanFang, VIP and PubMed) to identify population-based prospective studies on the prevalence of epilepsy in mainland Chinese. Multilevel mixed-effects logistic regression was used to estimate the prevalence of lifetime epilepsy (LTE), and restricted cubic regression splines were applied to model the functional forms of the non-linear effects of age and LTE prevalence. Random-effect meta-analysis was used to obtain the pooled prevalence of 1-year active epilepsy (AE), 2-year AE and 5-year AE separately. To estimate the number of people with LTE and AE in the years 1990, 2000, and 2015, LTE and AE prevalence were multiplied by the total population of mainland China of the corresponding year.

findingsAnalyses were conducted using 39 prevalence studies that met the inclusion criteria and comprised 77 separate data points (37 on LTE, 16 on 1-year AE, 12 on 2-year AE and 12 on 5-year AE). In 1990, the prevalence of LTE ranged from 1.31‰ (95% CI = 0.85-2.00) in the 0-4 age group to 2.42‰ (95% confidence interval CI = 1.60-3.65) in the 30-34 age group. By 2015, the LTE prevalence had increased to 4.57‰ (95% CI = 2.52-8.27) in the 0-4 group and 8.43‰ (95% CI = 4.71-15.04) in the 30-34 group. Over the 25-year period, the overall prevalence of LTE had steadily increased by 259%, from 1.99‰ (95% CI = 1.31-3.02) in 1990 to 7.15‰ (95% CI = 3.98-12.82) in 2015. The rates of increase were similar across the whole age spectrum, fluctuating around 250%. Between 1990 and 2015, the total number of people with LTE in mainland China increased by 328%, from 2.30 million (95% CI = 1.51-3.49) in 1990 to 9.84 million (95% CI = 5.48-17.64) in 2015. The pooled 1-year, 2-year, and 5-year AE prevalence were 3.79‰ (95% CI = 3.31-4.34), 4.08‰ (95% CI = 3.41-4.89) and 4.19‰ (95% CI = 3.42-5.15).

conclusionsThe burden of LTE in China has increased substantially between 1990 and 2015, with the prevalence of LTE having more than doubled and the number of people with LTE more than tripled. The large amount of AE cases in China calls for optimal management and treatment. More high-quality epidemiological studies on LTE and AE prevalence are still needed.

Indexed as

ChinaEpilepsyHumansPrevalence

Identifiers

PMID29302325
PMCPMC5737100

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LicenceCC BY
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Registered trials

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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.