Evidence map›Paper›PMID 28726052›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2017

Transcranial sonography image characteristics in different Parkinson's disease subtypes.

Ai Yan Sheng, Ying Chun Zhang, Yu Jing Sheng, Cai Shan Wang, Ying Zhang, Hua Hu, Wei Feng Luo, CHun-Feng LIu

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, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Changes in the correlation between substantia nigra hyperechogenicity area and Parkinson's disease severity at different Hoehn and Yahr stages.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  3. Prediction of Parkinson's disease by transcranial sonography-based deep learning.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  4. Review
  5. Review
  6. Article
  7. 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

8 authors.

Ai Yan ShengDepartment of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 Sanxiang Road, Suzhou, 215004, China.
Ying Chun ZhangDepartment of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 Sanxiang Road, Suzhou, 215004, China. richer777@126.com.ORCID http://orcid.org/0000-0003-2499-4444
Yu Jing ShengDepartment of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 Sanxiang Road, Suzhou, 215004, China.
Cai Shan WangDepartment of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 Sanxiang Road, Suzhou, 215004, China.
Ying ZhangDepartment of Ultrasound, The Second Affiliated Hospital of Soochow University, 1055 Sanxiang Road, Suzhou, 215004, China.
Hua HuDepartment of Psychiatry, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Wei Feng LuoDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
CHun-Feng LIuDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China.

Funding

Project Funded by Jiangsu Provincial Special Program of Medical Science BL2014042Suzhou Clinical Research Center of Neurological Disease Szzx201503the Priority Academic Program Development of Jiangsu Higher Education Institutions PAPD
6 · The paper itself

Abstract

Recently, Parkinson's disease (PD) has been classified into three subtypes: postural instability gait difficulty (PIGD), tremor dominate (TD), and indeterminate PD. Transcranial sonography (TCS) is considered to be an important tool to diagnose PD. However, it is uncertain that whether there are differences in TCS image characteristics in different PD subtypes, so 373 idiopathic PD (188 PIGD, 108 TD, 77 indeterminate PD) were registered and received TCS in our investigation; also, the association between clinical characteristics and TCS results in different PD subtypes was analyzed. In accordance with several previous studies, we detected substantia nigra (SN) by TCS in 85.4% of patients with idiopathic PD; we concluded that PIGD patients had more serious disease than TD and indeterminate PD group (p < 0.05). They always had larger SN hyperechogenicity areas on TCS (p < 0.05), and we found that there was no correlation between SN hyperechogenicity and disease duration or severity (p > 0.05). Similarly, abnormal brainstem raphe signal was also more often in PIGD group than in TD and indeterminate PD group (p < 0.05), which might imply that PIGD group was vulnerable to suffer from depression in the future.

Indexed as

EchoencephalographyAgedBrainDisease ProgressionFemaleHumansMaleMiddle AgedParkinson DiseaseSeverity of Illness IndexTime FactorsBrainstem rapheParkinson’s diseaseSubstantia nigra hyperechogenicityTranscranial sonography

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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.