Evidence map›Paper›PMID 29911252›Full record

ReviewNeurosurgical review2020

Progress in moyamoya disease.

Shuling Shang, Da Zhou, Jingyuan Ya, Sijie Li, Qi Yang, Yuchuan Ding, Xunming Ji, Ran Meng

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neurosurgical review, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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

87 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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27 more citing papers are in PubMed but not listed here.

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

8 authors.

Shuling ShangDepartments of Neurology, Radiology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Da ZhouDepartments of Neurology, Radiology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Jingyuan YaDepartments of Neurology, Radiology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Sijie LiDepartments of Neurology, Radiology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Qi YangDepartments of Neurology, Radiology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Yuchuan DingCenter of Stroke, Beijing Institute for Brain Disorders, Beijing, 100053, China.
Xunming JiDepartments of Neurology, Radiology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Ran MengDepartments of Neurology, Radiology and Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China. Ranmeng2011@pku.org.cn.ORCID http://orcid.org/0000-0003-1376-4213

Funding

the National Key R&D Program 2017YFC1308401the National Natural Science Foundation 81371289the Project of Beijing Municipal Top Talent of Healthy Work 2014-2-015
6 · The paper itself

Abstract

Moyamoya disease is characterized by progressive stenosis or occlusion of the intracranial portion of the internal carotid artery and their proximal branches, resulting in ischemic or hemorrhagic stroke with high rate of disability and even death. So far, available treatment strategies are quite limited, and novel intervention method is being explored. This review encapsulates current advances of moyamoya disease on the aspects of epidemiology, etiology, clinical features, imaging diagnosis and treatment. In addition, we also bring forward our conjecture, which needs to be testified by future research.

Indexed as

HumansMoyamoya DiseaseNeurosurgeryNeurosurgical ProceduresClinical featuresDiagnosisEpidemiologyMoyamoya diseaseTreatment

Identifiers

PMID29911252

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.