Evidence map›Paper›PMID 35747545›Full record

ArticleNeurology. Clinical practice2022

Using Semiology to Classify Epileptic Seizures vs Psychogenic Nonepileptic Seizures: A Meta-analysis.

Subramanian Muthusamy, Udaya Seneviratne, Catherine Ding, Thanh G Phan

Abstract read
In one paragraph

Article in Neurology. Clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Seminars in epileptology: How to diagnose status epilepticus in adults and children.Epileptic disorders : international epilepsy journal with videotape · 2025
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. 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.

Subramanian MuthusamyDepartment of Medicine (SM, US, TGP), School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria; and Department of Neurology (SM, US, CD, TGP), Monash Medical Centre, Clayton, Melbourne, Australia.
Udaya SeneviratneDepartment of Medicine (SM, US, TGP), School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria; and Department of Neurology (SM, US, CD, TGP), Monash Medical Centre, Clayton, Melbourne, Australia.ORCID https://orcid.org/0000-0003-0182-9702
Catherine DingDepartment of Medicine (SM, US, TGP), School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria; and Department of Neurology (SM, US, CD, TGP), Monash Medical Centre, Clayton, Melbourne, Australia.
Thanh G PhanDepartment of Medicine (SM, US, TGP), School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria; and Department of Neurology (SM, US, CD, TGP), Monash Medical Centre, Clayton, Melbourne, Australia.ORCID https://orcid.org/0000-0003-3400-6323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: A misdiagnosis of psychogenic nonepileptic seizures (PNES) and epileptic seizures (ES) is common. In the absence of the diagnostic gold standard (video EEG), clinicians rely on semiology and clinical assessment. However, questions regarding the diagnostic accuracy of different signs remain. This meta-analysis aimed to evaluate the diagnostic accuracy of semiology in PNES and ES. Methods: We systematically searched PubMed, PsycInfo, and Medline for original research publications published before 8 February 2021 with no restriction on search dates to identify studies that compared semiology in ES and PNES in epilepsy monitoring units. Non-English publications, review articles, studies reporting on only PNES or ES, and studies limited to patients with developmental delay were excluded. Study characteristics and proportions of event groups and patient groups demonstrating signs were extracted from each article. A bivariate analysis was conducted, and data were pooled in a random effects model for meta-analysis. The Results: The meta-analysis included 14 studies comprising 800 patients with ES and 452 patients with PNES. For PNES, ictal eye closure (PLR 40.5 95% confidence interval [CI] 16.2-101.3; Discussion: While all signs require an interpretation in the overall clinical context, the presence of ictal eye closure and asynchronous limb movements are reliable discriminative signs for PNES.

Identifiers

PMID35747545
PMCPMC9208424

What OpenQuestion holds

Textmetadata
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.