Evidence map›Paper›PMID 30558047›Full record

ArticleMedicine2018

Anti-N-methyl-D-aspartate receptor encephalitis: A case report.

Hua Li, Yan-Ke Guo, Ying-Lin Cui, Tao Peng

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Hua LiDepartment of Emergency, Henan Traditional Chinese Medicine Hospital, Zhengzhou, Henan.
Yan-Ke GuoDepartment of Emergency, Henan Traditional Chinese Medicine Hospital, Zhengzhou, Henan.
Ying-Lin CuiDepartment of Emergency, Henan Traditional Chinese Medicine Hospital, Zhengzhou, Henan.
Tao PengDepartment of Nephrology, Shandong University Qilu Hospital, Jinan, Shandong, China.
Qilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleAnti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is an auto-immune and paraneoplastic encephalitis with prominent neuropsychiatric manifestations. The N-methyl-D-aspartate receptor is located in the forebrain and hippocampus and plays a role in learning and memory. PATIENT CONCERNS: A 29-year-old female patient with anti-NMDAR encephalitis, was reported and we also reviewed the literature and summarised the characteristics of the cases. DIAGNOSES: In the present study, we reported 1 patient with anti-NMDAR encephalitis diagnosed by the detection of anti-NMDAR antibodies in serum and cerebrospinal fluid (CSF).

interventionsThe patient received glucocorticoids and anti-epilepsy treatment as well as human immunoglobulin treatment. OUTCOMES: After treatment, the patient gradually regained consciousness and was discharged after 3 months of rehabilitation. At the follow-up 2 months later, the patient had the sequelae of memory impairment and limb movement disorders. LESSONS: An accurate early diagnosis and active treatment are crucial to the improvement in the prognosis of patients with anti-NMDAR receptor encephalitis.

Indexed as

Anti-N-Methyl-D-Aspartate Receptor EncephalitisAdultAntibodiesAnticonvulsantsEarly DiagnosisFemaleGlucocorticoidsHumansImmunoglobulinsImmunomodulationMemory DisordersMovement DisordersPrognosisReceptors, N-Methyl-D-AspartateTreatment OutcomeAntibodiesAnticonvulsantsGlucocorticoidsImmunoglobulinsReceptors, N-Methyl-D-Aspartate

Identifiers

PMID30558047
PMCPMC6319820
OpenAlexW2905183327

What OpenQuestion holds

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LicenceCC BY-NC
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.