Evidence map›Paper›PMID 28770498›Full record

ReviewCurrent neurology and neuroscience reports2017

Psychogenic Non-Epileptic Seizures.

David K Chen, Esha Sharma, W Curt LaFrance

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current neurology and neuroscience reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

David K ChenDepartment of Neurology, Baylor College of Medicine, Houston, TX, 77030, USA.
Esha SharmaSchool of Public Health, Washington University in St. Louis, 113 River Bridge Lane, Apt 103, Memphis, TN, 38103, USA.
W Curt LaFranceDepartments of Psychiatry and Neurology, Brown University, Providence, RI, 02903, USA. william_lafrance_jr@brown.edu.
Brown University · USMichael E. DeBakey VA Medical Center · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewIn this review, we elucidate the evaluation process involved in the diagnosis of psychogenic non-epileptic seizures (PNES). Minimum clinical criteria required to attain this diagnosis via a staged approach are delineated. The psychological underpinnings and management of PNES from the neurologists' perspective are also explored. RECENT

findingsHelpful clues can be deduced from history-taking, seizure semiology, ictal/peri-ictal physical exam, and ictal/inter-ictal EEG data. No single clinical data point is definitively diagnostic of PNES. Instead, the level of certainty for PNES diagnosis is contingent upon concordance of the composite clinical evidence available. Robust neurologist-patient alliance not only facilitates the evaluation process but can influence therapeutic impact. While diagnosis of PNES can be challenging, this diagnosis can be reliably made upon establishing concordance of the historical, physical exam, and video-EEG findings. Evidence-based treatments are available for patients with PNES. Continued efforts remain necessary to enhance timely diagnosis and interdisciplinary management for patients with PNES.

Indexed as

HumansPsychophysiologic DisordersSeizuresSomatoform DisordersConversion disorderDifferential diagnosisFunctional neurologic disordersPsychogenic non-epileptic seizuresTreatmentVideo EEG

Identifiers

PMID28770498
OpenAlexW2742155849

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.