Evidence map›Paper›PMID 26337840›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2016

Electroencephalographic features of convulsive epilepsy in Africa: A multicentre study of prevalence, pattern and associated factors.

Symon M Kariuki, Steven White, Eddie Chengo, Ryan G Wagner, Kenneth A Ae-Ngibise, Angelina Kakooza-Mwesige, Honorati Masanja, Anthony K Ngugi, Josemir W Sander, Brian G Neville and 2 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Study of electroencephalography in people with generalized epilepsy in a Saudi population.Journal of community hospital internal medicine perspectives · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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

12 authors at 9 institutions in 8 countries.

Symon M KariukiKEMRI-Wellcome Trust Research Programme, P.O. Box 230, Kilifi, Kenya; Nuffield Department of Medicine, University of Oxford, OX3 7BN Oxford, UK. Electronic address: skariuki@kemri-wellcome.org.
Steven WhiteDepartment of Clinical Neurophysiology, Great Ormond Street Hospital for Children, WC1N 3JH London, UK.
Eddie ChengoKEMRI-Wellcome Trust Research Programme, P.O. Box 230, Kilifi, Kenya; Foundation for People with Epilepsy, 80200 Malindi, Kenya.
Ryan G WagnerMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, P.O. Box 2 Cornhoek 1360, Johannesburg, South Africa; Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, 901 85 Umeå, Sweden.
Kenneth A Ae-NgibiseKintampo Health and Demographic Surveillance System, P.O. Box 200, Kintampo, Ghana.
Angelina Kakooza-MwesigeIganga-Mayuge Health and Demographic Surveillance System, P.O. Box 111, Iganga, Uganda; Department of Paediatrics and Child Health, Makerere University College of Health Sciences, P.O. Box 7072, Kampala, Uganda.
Honorati MasanjaIfakara Health and Demographic Surveillance System, P.O. Box 78373, Ifakara, Tanzania.
Anthony K NgugiPopulation Health Sciences/Research Support Unit, Faculty of Health Sciences, Aga Khan University (East Africa), Aga Khan Hospital Building, Third Parklands Ave., P.O. Box 30270, Nairobi, Kenya.
Josemir W SanderNIHR University College London Hospitals Biomedical Research Centre, UCL Institute of Neurology, Queen Square, London WC1N 3BG and Epilepsy Society, Chalfont St. Peter SL9 8ES, Bucks, UK; Stichting Epilepsie Instellingen Nederland-SEIN, 2103SW Heemstede, Netherlands.
Brian G NevilleNeurosciences Unit, UCL Institute of Child Health, WC1E 6BT London, UK.
Charles R NewtonKEMRI-Wellcome Trust Research Programme, P.O. Box 230, Kilifi, Kenya; Department of Psychiatry, University of Oxford, OX3 7JX Oxford, UK.
SEEDS investigators
Kenya Medical Research Institute · KEUniversity College London · GBAga Khan Hospital, Kisumu · KEAgincourt Health and Socio-Demographic Surveillance System · ZAIfakara Health Institute · TZKintampo Health Research Centre · GHMakerere University · UGStichting Epilepsie Instellingen Nederland · NLUniversity of Oxford · GB

Funding

Wellcome Trust 083744Wellcome Trust 092654Wellcome Trust 099782/Z/12/Z
6 · The paper itself

Abstract

objectiveWe investigated the prevalence and pattern of electroencephalographic (EEG) features of epilepsy and the associated factors in Africans with active convulsive epilepsy (ACE).

methodsWe characterized electroencephalographic features and determined associated factors in a sample of people with ACE in five African sites. Mixed-effects modified Poisson regression model was used to determine factors associated with abnormal EEGs.

resultsRecordings were performed on 1426 people of whom 751 (53%) had abnormal EEGs, being an adjusted prevalence of 2.7 (95% confidence interval (95% CI), 2.5-2.9) per 1000. 52% of the abnormal EEG had focal features (75% with temporal lobe involvement). The frequency and pattern of changes differed with site. Abnormal EEGs were associated with adverse perinatal events (risk ratio (RR)=1.19 (95% CI, 1.07-1.33)), cognitive impairments (RR=1.50 (95% CI, 1.30-1.73)), use of anti-epileptic drugs (RR=1.25 (95% CI, 1.05-1.49)), focal seizures (RR=1.09 (95% CI, 1.00-1.19)) and seizure frequency (RR=1.18 (95% CI, 1.10-1.26) for daily seizures; RR=1.22 (95% CI, 1.10-1.35) for weekly seizures and RR=1.15 (95% CI, 1.03-1.28) for monthly seizures)).

conclusionsEEG abnormalities are common in Africans with epilepsy and are associated with preventable risk factors. SIGNIFICANCE: EEG is helpful in identifying focal epilepsy in Africa, where timing of focal aetiologies is problematic and there is a lack of neuroimaging services.

Indexed as

AdolescentAdultAfricaChildElectroencephalographyEpilepsyFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsYoung AdultActive convulsive epilepsyAfricaElectroencephalographic featuresRisk factors

Identifiers

PMID26337840
PMCPMC4725253
OpenAlexW1677886421

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.