Evidence map›Paper›PMID 32385119›Full record

ArticleBMJ case reports2020

CSF studies which ultimately led to the possible diagnosis of anti-NMDAR encephalitis.

Caroline Roberts, Morgan McEachern, Anne Mounsey

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2020. 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
0.1field-weighted citation impact, top 55% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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 1 institution in 1 country.

Caroline RobertsDepartment of Family Medicine, University of North Carolina, Chapel Hill, North Carolina, USA caroline_roberts@med.unc.edu.ORCID http://orcid.org/0000-0002-9698-8249
Morgan McEachernDepartment of Family Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Anne MounseyDepartment of Family Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 17-year-old man with no significant medical history presented with new-onset seizure activity and altered mental status manifesting as bizarre behaviour, which included rapid pressured and tangential speech, psychomotor agitation, insomnia and delusions. He also had autonomic dysregulation, manifested in labile blood pressures. He had been recently discharged from his first psychiatric hospitalisation. Many studies were performed, including electroencephalogram (EEG), head CT, laboratory work, urine drug screen and lumbar puncture with cerebral spinal fluid studies, which ultimately led to the diagnosis of anti-N-methyl-D-aspartate receptor (NMDAR) autoimmune encephalitis. He was treated with five rounds of plasmapheresis with complete resolution of his altered mental status. This case highlights the importance of being familiar with the presentation of anti-NMDAR autoimmune encephalitis, especially in cases of new-onset mental status changes with psychotic like symptoms, seizure-like activity and autonomic dysregulation as early detection and treatment improves chances of good prognosis with return to baseline cognitive function.

Indexed as

AdolescentAnti-N-Methyl-D-Aspartate Receptor EncephalitisAntipsychotic AgentsAutoantibodiesDiagnosis, DifferentialHumansMaleOlanzapinePlasmapheresisPsychomotor AgitationAntipsychotic AgentsAutoantibodiesOlanzapinechild and adolescent psychiatrydeliriumneurologypaediatricsprehospital

Identifiers

PMID32385119
PMCPMC7228146
OpenAlexW3021125298

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.