Evidence map›Paper›PMID 35484281›Full record

ArticleNPJ Parkinson's disease2022

Gait abnormalities and non-motor symptoms predict abnormal dopaminergic imaging in presumed drug-induced Parkinsonism.

Whitley W Aamodt, Jacob G Dubroff, Gang Cheng, Betty Taylor, Stephanie Wood, John E Duda, James F Morley

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

Article in NPJ Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 2 institutions in 1 country.

Whitley W AamodtParkinson's Disease Research, Education, and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Avenue, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0001-8130-2809
Jacob G DubroffDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, 1 Silverstein, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Gang ChengDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, 1 Silverstein, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Betty TaylorDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, 1 Silverstein, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Stephanie WoodParkinson's Disease Research, Education, and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Avenue, Philadelphia, PA, 19104, USA.
John E DudaParkinson's Disease Research, Education, and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Avenue, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0002-7282-2201
James F MorleyParkinson's Disease Research, Education, and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Avenue, Philadelphia, PA, 19104, USA. james.morley@pennmedicine.upenn.edu.
Philadelphia VA Medical Center · USUniversity of Pennsylvania · US

Funding

Neurologic Clinical Epidemiology Training ProgramT32NS061779 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Andrea Lauren Christman Schneider, Allison Willis · 2008 to 2026
$4.6M
NINDS NIH HHS T32 NS061779U.S. Department of Veterans Affairs (Department of Veterans Affairs) VA VISN4 CPPF Grant
6 · The paper itself

Abstract

Drug-induced parkinsonism (DIP) can be clinically indistinguishable from degenerative parkinsonism, and bedside assessments are needed to differentiate between these conditions. We examined 34 U.S. Veterans with DIP using

Identifiers

PMID35484281
PMCPMC9051164
OpenAlexW4225013319

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.