Evidence map›Paper›PMID 26468371›Full record

ArticleAnnals of medicine and surgery (2012)2015

A fitting tribute to Epilepsia partialis continua.

Priyank Patel, Nirav Amin, Shreya B Patel, Catrin Morgan

Abstract readCase Reports
In one paragraph

Article in Annals of medicine and surgery (2012), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

4 authors.

Priyank PatelBarts and the London School of Medicine and Dentistry, London, E1 2AD, UK.
Nirav AminKing's College Hospital NHS Foundation Trust, King's Health Partners, London, BR6 8ND, UK.
Shreya B PatelSports Medicine, Samford University, Alabama 35209, USA.
Catrin MorganBarts and the London School of Medicine and Dentistry, London, E1 2AD, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In July 2014, a 66 year-old lady presented to emergency department after having not been seen for 3 days. She was eventually found in bed not responding verbally. The ambulance service reported tonic-clonic seizures lasting 10-30 s every 3 min. The patient was treated for her seizures with phenytoin and additional benzodiazepines as required. Her seizure had temporarily resolved and she was admitted for investigations. She had no history of epilepsy or seizures. The history of alcoholism and lack of any substantial history of epilepsy, left the team considering whether this was an alcohol induced event or a pseudoseizure. The patient referred to no prodrome, no tongue biting/incontinence and lacked any convincing post-ictal phases. The seizures were no longer tonic-clonic but evolved into focal motor, with right-sided facial twitching lasting 2 min. Her investigations from bloods, lumbar puncture, computerised tomography scan and magnetic resonance imaging were all normal which led the team to consider whether this was a pseudoseizure. The patient appeared unconscious during seizures but was rousable during the episodes, although she claimed to have no recollection of them after. The seizures frequency settled at 30/day after being resistant to most antiepileptic regimes, except the eventual combination of Levetiracetam 1000 mg BD and Sodium Valproate 400 mg which left her seizure-free. However, the key evidence separating pseudoseizures and epilepsy partialis continua lay in collecting video evidence. This rare but important differential can often be overlooked but is especially important in the elderly, in whom this condition can mask serious underlying pathology.

Indexed as

AlcoholDiagnosisEpilepsyHeuristicsPseudoseizures

Identifiers

PMID26468371
PMCPMC4556781

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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.