Evidence map›Paper›PMID 33014524›Full record

ArticleAging and disease2020

Six Visual Rating Scales as A Biomarker for Monitoring Atrophied Brain Volume in Parkinson's Disease.

Yu Lin, Ying Fu, Yi-Fang Zeng, Jian-Ping Hu, Xiao-Zhen Lin, Nai-Qing Cai, Qiang Weng, Yi-Jing Zhao, Yi Lin, Dai-Rong Cao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Aging and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Predictor model for mild cognitive impairment in Parkinson's disease using visual rating scales.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  4. Article
  5. Article
  6. A point-based cognitive impairment scoring system for southeast Asian adults.The journal of prevention of Alzheimer's disease · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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

11 authors at 2 institutions in 1 country.

Yu Lin1Department of Neurology and Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Ying Fu1Department of Neurology and Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Yi-Fang Zeng1Department of Neurology and Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Jian-Ping Hu3Department of Radiology, First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Xiao-Zhen Lin4Department of Geriatrics, First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Nai-Qing Cai1Department of Neurology and Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Qiang Weng3Department of Radiology, First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Yi-Jing Zhao3Department of Radiology, First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Yi Lin1Department of Neurology and Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Dai-Rong Cao3Department of Radiology, First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Ning Wang1Department of Neurology and Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Fujian Medical University · CNFirst Affiliated Hospital of Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The focus of our investigation was to determine the feasibility of using six visual rating scales as whole-brain imaging markers for monitoring atrophied brain volume in Parkinson's disease (PD). This was a prospective cross-sectional single-center observational study. A total of 98 PD patients were enrolled and underwent an MRI scan and a battery of neuropsychological evaluations. The brain volume was calculated using the online resource MRICloud. Brain atrophy was rated based on six visual rating scales. Correlation analysis was performed between visual rating scores and brain volume and clinical features. We found a significant negative correlation between the total scores of visual rating scores and quantitative brain volume, indicating that six visual rating scales reliably reflect whole brain atrophy in PD. Multiple linear regression-based analyses indicated severer non-motor symptoms were significantly associated with higher scores on the visual rating scales. Furthermore, we performed sample size calculations to evaluate the superiority of visual rating scales; the result show that using total scores of visual rating scales as an outcome measure, sample sizes for differentiating cognition injury require significantly fewer subjects (n = 177) compared with using total brain volume (n = 2524). Our data support the use of the total visual rating scores rather than quantitative brain volume as a biomarker for monitoring cerebral atrophy.

Indexed as

clinical trialsParkinson’s diseasestructural imagevisual rating scalewhole brain atrophy

Identifiers

PMID33014524
PMCPMC7505277
OpenAlexW3090080667

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.