Evidence map›Paper›PMID 30088165›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2018

Neurosarcoidosis: clinical characteristics, diagnosis, and treatment in eight Chinese patients.

Fen Wang, Dongmei Guo, Zheng Liu, Aihong Zhou, Cuibai Wei, Jianping Jia

Abstract read
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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Ischemic stroke due to sarcoidosis: the arterial wall enhancement on magnetic resonance imaging.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019
    Article
  3. Myelopathy associated with mixed connective tissue disease: clinical manifestation, diagnosis, treatment, and prognosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019
    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

6 authors at 2 institutions in 1 country.

Fen WangDepartment of Neurology, Xuan Wu Hospital, Capital Medical University, Changchun Street 45, Xicheng District, Beijing, 100053, People's Republic of China.
Dongmei GuoDepartment of Neurology, Xuan Wu Hospital, Capital Medical University, Changchun Street 45, Xicheng District, Beijing, 100053, People's Republic of China.
Zheng LiuDepartment of Neurology, Xuan Wu Hospital, Capital Medical University, Changchun Street 45, Xicheng District, Beijing, 100053, People's Republic of China.
Aihong ZhouDepartment of Neurology, Xuan Wu Hospital, Capital Medical University, Changchun Street 45, Xicheng District, Beijing, 100053, People's Republic of China.
Cuibai WeiDepartment of Neurology, Xuan Wu Hospital, Capital Medical University, Changchun Street 45, Xicheng District, Beijing, 100053, People's Republic of China.
Jianping JiaDepartment of Neurology, Xuan Wu Hospital, Capital Medical University, Changchun Street 45, Xicheng District, Beijing, 100053, People's Republic of China. jjp@ccmu.edu.cn.ORCID http://orcid.org/0000-0003-4624-0336
Xuan Wu Hospital of the Capital Medical University · CNCapital Medical University · CN

Funding

Beijing high-level health talents training project 2015-3-068National Natural Science Foundation of China 81100797
6 · The paper itself

Abstract

Neurosarcoidosis is relatively rare and has diverse manifestations. The clinical characteristics, diagnosis, treatment, and outcome for neurosarcoidosis in China are poorly understood. We retrospectively analyzed the clinical features, laboratory and imaging results, treatment, and outcomes in patients who met the criteria for definite or probable neurosarcoidosis in Xuan Wu Hospital of Capital Medical University from 2000 to 2015. Eight patients were included in this study, accounting for 5.84% of all cases with sarcoidosis. The mean age at onset was 50.25 years, and 75% of the patients were female. Five cases had a prior diagnosis of extraneurologic sarcoidosis, leading to a shorter lag time between onset of symptoms and diagnosis (3.4 vs. 16.2 months). Neurological symptoms were the first clinical feature of sarcoidosis in three cases, and no patients presented isolated nervous system manifestation. The most common symptom was sensory disturbance, and the most common site of nervous system involvement was brain parenchyma and meninges. Disturbance of consciousness, seizures, hydrocephalus, and abnormal CSF assays were associated with poor prognosis. All patients were treated with corticosteroids and one was also given azathioprine. Five patients had complete or partial improvement, one remained stabilized, and two deteriorated and died. Neurosarcoidosis is difficult to diagnose early and might be associated with a poor prognosis. Tissue biopsy for a definitive diagnosis and aggressive therapy with corticosteroids plus other alternative immunosuppressive treatment should be recommended in China.

Indexed as

AdultAgedAnti-Inflammatory AgentsCentral Nervous SystemCentral Nervous System DiseasesDexamethasoneFemaleFollow-Up StudiesHumansInfantMaleMiddle AgedNeuroimagingPeptidyl-Dipeptidase APrednisoneRetrospective StudiesAnti-Inflammatory AgentsDexamethasonePeptidyl-Dipeptidase APrednisoneDiagnosisNeurosarcoidosisOutcomeTreatment

Identifiers

PMID30088165
OpenAlexW2885576367

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.