Evidence map›Paper›PMID 33568988›Full record

ArticleFrontiers in aging neuroscience2020

Motor Progression in Early-Stage Parkinson's Disease: A Clinical Prediction Model and the Role of Cerebrospinal Fluid Biomarkers.

Ling-Yan Ma, Yu Tian, Chang-Rong Pan, Zhong-Lue Chen, Yun Ling, Kang Ren, Jing-Song Li, Tao Feng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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

Ling-Yan MaDepartment of Neurology, Center for Movement Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yu TianEngineering Research Center of Electronic Medical Record (EMR) and Intelligent Expert System, College of Biomedical Engineering and Instrument Science, Zhejiang University, Ministry of Education, Hangzhou, China.
Chang-Rong PanEngineering Research Center of Electronic Medical Record (EMR) and Intelligent Expert System, College of Biomedical Engineering and Instrument Science, Zhejiang University, Ministry of Education, Hangzhou, China.
Zhong-Lue ChenGyenno Science Co. Ltd., Shenzhen, China.
Yun LingGyenno Science Co. Ltd., Shenzhen, China.
Kang RenGyenno Science Co. Ltd., Shenzhen, China.
Jing-Song LiEngineering Research Center of Electronic Medical Record (EMR) and Intelligent Expert System, College of Biomedical Engineering and Instrument Science, Zhejiang University, Ministry of Education, Hangzhou, China.
Tao FengDepartment of Neurology, Center for Movement Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

Developing, evaluating, and disseminating new methods and technologies to advance Parkinson disease researchP20NS092529 · NINDS · UNIVERSITY OF ROCHESTER · PI DORSEY, EARL RAY · 2015 to 2016
$767k
NINDS NIH HHS P20 NS092529
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

machine learningmotor progressionParkinson's progression markers initiativeParksinon's diseasepredictive model

Identifiers

PMID33568988
PMCPMC7868416

What OpenQuestion holds

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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.