Evidence map›Paper›PMID 30150348›Full record

ArticleBMJ case reports2018

Anti-AMPA receptor encephalitis associated with Medullary thyroid cancer.

Navira Samad, Jennifer Wong

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. The well responsiveness of drug-resistant focal seizures in anti-AMPA2 receptor encephalitis to perampanel treatment.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Article
  7. Article
  8. Review
  9. 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

2 authors at 1 institution in 1 country.

Navira SamadDepartment of Endocrinology, Monash Health, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-1160-1210
Jennifer WongDepartment of Endocrinology, Monash Health, Melbourne, Victoria, Australia.
Monash Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AMPA receptor (AMPAR) antibodies are a group of recently discovered antibodies which target the neuronal synaptic proteins causing B-cell (immune) mediated neuronal damage, resulting in various neurologic syndromes depending on the area of central nervous system involvement. These syndromes are mostly reversible if treated early. Tumour association has been reported in up to 60% of cases in the most recent case series with lung, breast, ovarian cancers and thymomas being the most commonly associated malignancies with these antibodies. We present here the first case of AMPAR encephalitis associated with medullary thyroid cancer. Our patient presented with cognitive dysfunction and behavioural changes over a period of 3 weeks, with a full recovery after starting immunotherapy, once the diagnosis of AMPAR limbic encephalitis was established. This case highlights the importance of early diagnosis and management of AMPAR encephalitis as these patients respond well to immunotherapy and can have an almost complete recovery.

Indexed as

AgedAutoantibodiesCarcinoma, NeuroendocrineCognitive DysfunctionEncephalitisFemaleHumansImmunotherapyParanoid DisordersReceptors, AMPAThyroid NeoplasmsTreatment OutcomeAutoantibodiesReceptors, AMPAbrainstem / cerebellumcancer - see oncologyendocrine cancerimmunologythyroid disease

Identifiers

PMID30150348
PMCPMC6119387
OpenAlexW2889029586

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.