Evidence map›Paper›PMID 29221514›Full record

ArticleAnnals of global health

Yield of Brain MRI in Clinically Diagnosed Epilepsy in the Kingdom of Bhutan: A Prospective Study.

Veronica Bruno, Joshua P Klein, Dechen Nidup, Damber K Nirola, Lhab Tshering, Sonam Deki, Sarah J Clark, Kristin A Linn, Russell T Shinohara, Chencho Dorji and 4 more

Open access · goldAbstract read
In one paragraph

Article in Annals of global health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Cerebral cysticercosis in a wild Bengal tigerInternational journal for parasitology. Parasites and wildlife · 2021
    Article
  3. Article
  4. Review
  5. Magnetic resonance imaging and electroencephalography findings in a sample of Iranian patients with epilepsy.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2018
    Article
  6. 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

14 authors at 3 institutions in 1 country.

Veronica BrunoDepartment of Neurology, Massachusetts General Hospital, Boston, MA.
Joshua P KleinHarvard Medical School, Boston, MA; Department of Neurology, Brigham & Women's Hospital, Boston, MA; Department of Radiology, Brigham & Women's Hospital, Boston, MA.
Dechen NidupDepartment of Radiology, Jigme Dorji Wangchuck National Referral Hospital, Thimphu, Bhutan.
Damber K NirolaDepartment of Radiology, Jigme Dorji Wangchuck National Referral Hospital, Thimphu, Bhutan.
Lhab TsheringDepartment of Psychiatry, Jigme Dorji Wangchuck National Referral Hospital, Thimphu, Bhutan.
Sonam DekiDepartment of Psychiatry, Jigme Dorji Wangchuck National Referral Hospital, Thimphu, Bhutan.
Sarah J ClarkDepartment of Neurology, Massachusetts General Hospital, Boston, MA.
Kristin A LinnUniversity of Pennsylvania, Philadelphia, PA.
Russell T ShinoharaUniversity of Pennsylvania, Philadelphia, PA.
Chencho DorjiDepartment of Psychiatry, Jigme Dorji Wangchuck National Referral Hospital, Thimphu, Bhutan.
Dili Ram PokhrelDepartment of Psychiatry, Jigme Dorji Wangchuck National Referral Hospital, Thimphu, Bhutan.
Ugyen DemaDepartment of Psychiatry, Jigme Dorji Wangchuck National Referral Hospital, Thimphu, Bhutan.
Farrah J MateenDepartment of Neurology, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA. Electronic address: fmateen@partners.org.
Bhutan Epilepsy Project
Massachusetts General Hospital · USUniversity of Pennsylvania · USBrigham and Women's Hospital · US

Funding

Statistical methods for large and complex databases of ultra-high-dimensionalR01NS085211 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2013 to 2017
$1.8M
NINDS NIH HHS R01 NS085211
6 · The paper itself

Abstract

backgroundPeople with epilepsy (PWE) in low- and middle-income countries may not access the health resources that are considered optimal for epilepsy diagnosis. The diagnostic yield of magnetic resonance imaging (MRI) has not been well studied in these settings.

objectivesTo report the diagnostic yield of brain MRI and identify clinical associations of abnormal MRI findings among PWE in a neurocysticercosis-endemic, resource-limited setting and to identify the proportion and putative structural brain causes of drug-resistant epilepsy.

methodsPWE were prospectively enrolled at the Jigme Dorji Wangchuck National Referral Hospital in Bhutan (2014-2015). Each participant completed clinical questionnaires and a 1.5-Tesla brain MRI. Each MRI was reviewed by at least 1 radiologist and neurologist in Bhutan and the United States. A working definition of drug-resistant epilepsy for resource-limited settings was given as (a) seizures for >1 year, (b) at least 1 seizure in the prior year, and (c) presently taking 2 or more antiepileptic drugs (AEDs). Logistic regression models were constructed to test the cross-sectional association of an abnormal brain MRI with clinical variables.

findingsA total of 217 participants (125 [57%] female; 54 [25%] < 18 years old; 199 [92%] taking AEDs; 154 [71%] with a seizure in the prior year) were enrolled. There was a high prevalence of abnormal brain MRIs (176/217, 81%). Mesial temporal sclerosis was the most common finding (n = 115, 53%, including 24 children), exceeding the number of PWE with neurocysticercosis (n = 26, 12%, including 1 child) and congenital/perinatal abnormalities (n = 29, 14%, including 14 children). The number of AEDs (odds ratio = .59, P = .03) and duration of epilepsy (odds ratio = 1.11, P = .02) were significantly associated with an abnormal MRI. Seizure in the prior month was associated with the presence of mesial temporal sclerosis (odds ratio = .47, P = .01). A total of 25 (12%) participants met our definition of drug-resistant epilepsy, with mesial temporal sclerosis (n = 10), congenital malformations (n = 5), and neurocysticercosis (n = 4) being the more common findings.

conclusionsThe prevalence of abnormalities on brain MRI for PWE in resource-limited settings is high as a result of a diffuse range of etiologies, most commonly mesial temporal sclerosis. Drug-resistant epilepsy accounted for 12% of the referral population in a conservative estimation.

Indexed as

AdolescentAdultAnticonvulsantsBhutanBrainChildChild, PreschoolDeveloping CountriesDrug Resistant EpilepsyEpilepsyFemaleHumansLogistic ModelsMagnetic Resonance ImagingMaleNervous System MalformationsAnticonvulsantsAsiadiagnosisdrug resistant epilepsyepilepsyMRI

Identifiers

PMID29221514
PMCPMC5724391
OpenAlexW2605277198

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.