Evidence map›Paper›PMID 33071924›Full record

ArticleFrontiers in neurology2020

Multi-Dimensional, Short-Timescale Quantification of Parkinson's Disease and Essential Tremor Motor Dysfunction.

John B Sanderson, James H Yu, David D Liu, Daniel Amaya, Peter M Lauro, Anelyssa D'Abreu, Umer Akbar, Shane Lee, Wael F Asaad

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Machine Learning for Differentiating Essential Tremor: A Scoping Review.Tremor and other hyperkinetic movements (New York, N.Y.) · 2026
    Article
  3. Review
  4. 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

9 authors at 3 institutions in 1 country.

John B SandersonThe Warren Alpert Medical School, Brown University, Providence, RI, United States.
James H YuThe Warren Alpert Medical School, Brown University, Providence, RI, United States.
David D LiuThe Warren Alpert Medical School, Brown University, Providence, RI, United States.
Daniel AmayaDepartment of Neuroscience, Brown University, Providence, RI, United States.
Peter M LauroThe Warren Alpert Medical School, Brown University, Providence, RI, United States.
Anelyssa D'AbreuThe Warren Alpert Medical School, Brown University, Providence, RI, United States.
Umer AkbarThe Warren Alpert Medical School, Brown University, Providence, RI, United States.
Shane LeeDepartment of Neuroscience, Brown University, Providence, RI, United States.
Wael F AsaadThe Warren Alpert Medical School, Brown University, Providence, RI, United States.
Providence College · USBrown University · USRhode Island Hospital · US

Funding

The neural basis of sequential control in human and non-human primatesP20GM103645 · NIGMS · BROWN UNIVERSITY · PI SANES, JEROME N · 2013 to 2022
$22.9M
Warren Alpert Medical School Basic Translational ResearchT35HL094308 · NHLBI · BROWN UNIVERSITY · PI Thomas Benedict Bartnikas, Brittany Star Hampton · 2009 to 2026
$808k
Brain Science Compute ClusterS10OD025181 · OD · BROWN UNIVERSITY · PI SANES, JEROME N · 2019 to 2019
$600k
NHLBI NIH HHS T35 HL094308NIGMS NIH HHS P20 GM103645NIH HHS S10 OD025181
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

deep brain stimulationessential tremor (ET)machine learningParkinson's Disease (PD)symptom assessmentUPDRS

Identifiers

PMID33071924
PMCPMC7530842
OpenAlexW3088967476

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.