Evidence map›Paper›PMID 23956555›Full record

ArticleAnnals of Indian Academy of Neurology2013

Clinical profile of psychogenic non-epileptic seizures in adults: A study of 63 cases.

Yogesh Patidar, Meena Gupta, Geeta A Khwaja, Debashish Chowdhury, Amit Batra, Abhijit Dasgupta

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Article in Annals of Indian Academy of Neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Yogesh PatidarDepartment of Neurology, 5th Floor, Academic Block, G. B. Pant Hospital, JLN Marg, New Delhi, India.
Meena Gupta
Geeta A Khwaja
Debashish Chowdhury
Amit Batra
Abhijit Dasgupta
Govind Ballabh Pant Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo evaluate clinical profile and short-term outcome of psychogenic non-epileptic seizures (PNES) in Indian adult population. SETTING AND

designA prospective observational study, conducted at tertiary teaching institute at New Delhi. MATERIALS AND

methodsSixty-three patients with confirmed PNES were enrolled. The diagnosis was based on witnessing the event during video-electroencephalography (Video-EEG) monitoring. A detailed clinical evaluation was done including evaluation for coexistent anxiety or depressive disorders. Patients were divided into two groups on the basis of excessive or paucity of movements during PNES attacks. Patients were followed-up to 12 months for their PNES frequency. STATISTICAL ANALYSIS: Means and standard deviations were calculated for continuous variables. Chi-square and Students t-test were used to compare categorical and continuous variables respectively.

resultsThe mean age at onset of PNES was 25.44 years; with F:M ratio of 9.5:1. Coexistent epilepsy was present in 13 (20.63%) cases. Twenty-two patients (44%) with only PNES (n = 50) had received antiepileptic drugs. Out of 63 patients of PNES 24 (38.1%) had predominant motor phenomenon, whereas 39 (61.9%) had limp attacks. The common features observed were pre-ictal headache, ictal eye closure, jaw clenching, resistant behavior, ictal weeping, ictal vocalization, and unresponsiveness during episodes. Comorbid anxiety and depressive disorders was seen in 62.3% and 90.16% patients, respectively. Short-term (6-12 months) outcome of 45 patients was good (seizure freedom in 46.66% and >50% improvement in 24.44% cases).

conclusionPNES is common, but frequently misdiagnosed and treated as epileptic seizures. A high index of suspicion is required for an early diagnosis. Proper disclosure of diagnosis and management of the psychiatric comorbidities can improve their outcome. LIMITATION: Limited sample size and change in seizures frequency as the only parameter for the assessment of the outcome are the two major limitations of our study.

Indexed as

Coexistent epilepsyPsychogenic non-epileptic seizuresvideo-electroencephalography

Identifiers

PMID23956555
PMCPMC3724065
OpenAlexW2027196483

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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.