Evidence map›Paper›PMID 30039925›Full record

ReviewCNS neuroscience & therapeutics2018

Current behavioral assessments of movement disorders in children.

Tetsuya Asakawa, Kenji Sugiyama, Takao Nozaki, Tetsuro Sameshima, Susumu Kobayashi, Liang Wang, Zhen Hong, Shu-Jiao Chen, Can-Dong Li, Ding Ding and 1 more

Abstract readReview
In one paragraph

Review in CNS neuroscience & therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

11 authors.

Tetsuya AsakawaDepartment of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan.ORCID 0000-0002-2300-3509
Kenji SugiyamaDepartment of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan.
Takao NozakiDepartment of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan.
Tetsuro SameshimaDepartment of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan.
Susumu KobayashiDepartment of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan.
Liang WangDepartment of Neurology, Huashan Hospital of Fudan University, Shanghai, China.
Zhen HongDepartment of Neurology, Huashan Hospital of Fudan University, Shanghai, China.
Shu-Jiao ChenResearch Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Shangjie Minhou, Fuzhou, China.
Can-Dong LiResearch Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Shangjie Minhou, Fuzhou, China.
Ding DingInstitute of Neurology, Huashan Hospital of Fudan University, Shanghai, China.
Hiroki NambaDepartment of Neurosurgery, Hamamatsu University School of Medicine, Hamamatsu-city, Shizuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric movement disorders (PMDs) are common and have recently received increasing attention. As these disorders have special clinical features, the selection of appropriate behavioral assessment tools that can clearly distinguish movement disorders from other diseases (eg, epilepsy and neuromuscular disorders) is crucial for achieving an accurate diagnosis and treatment. However, few studies have focused on behavioral assessments in children. The present report attempts to provide a critical review of the available subjective and objective assessment tests for common PMDs. We believe that the principles of objectification, multi-purpose use, and simplification are also applicable to the selection and development of satisfactory pediatric behavioral assessment tools. We expect that the development of wearable sensors, virtual reality, and augmented reality will lead to the establishment of more reliable and simple tests. In addition, more rigorous randomized controlled trials that have been specifically designed to evaluate behavioral testing in children are also expected in the future.

Indexed as

Neurologic ExaminationChildChild, PreschoolDatabases, BibliographicHumansMovement Disordersbehavioral assessmentsdystoniapediatric movement disorderstics

Identifiers

PMID30039925
PMCPMC6489758

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.