Evidence map›Paper›PMID 33660110›Full record

ReviewCurrent neurology and neuroscience reports2021

Digital Technology in Movement Disorders: Updates, Applications, and Challenges.

Jamie L Adams, Karlo J Lizarraga, Emma M Waddell, Taylor L Myers, Stella Jensen-Roberts, Joseph S Modica, Ruth B Schneider

Abstract readReview
In one paragraph

Review in Current neurology and neuroscience reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Digital Technologies for Symptom Monitoring in Parkinson Disease.Current neurology and neuroscience reports · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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.

Jamie L AdamsDepartment of Neurology, University of Rochester, 265 Crittenden Blvd, Box MIND, Rochester, NY, 14642, USA.
Karlo J LizarragaDepartment of Neurology, University of Rochester, 265 Crittenden Blvd, Box MIND, Rochester, NY, 14642, USA.
Emma M WaddellCenter for Health + Technology, University of Rochester, Rochester, NY, USA.
Taylor L MyersCenter for Health + Technology, University of Rochester, Rochester, NY, USA.
Stella Jensen-RobertsCenter for Health + Technology, University of Rochester, Rochester, NY, USA.
Joseph S ModicaDepartment of Neurology, University of Rochester, 265 Crittenden Blvd, Box MIND, Rochester, NY, 14642, USA.
Ruth B SchneiderDepartment of Neurology, University of Rochester, 265 Crittenden Blvd, Box MIND, Rochester, NY, 14642, USA. Ruth_schneider@urmc.rochester.edu.ORCID 0000-0001-8094-4041

Funding

The Clinical Core will support in-person and virtual research visits for three of the four Research Projects at the University of Rochester Udall CenterP50NS108676 · NINDS · UNIVERSITY OF ROCHESTER · PI DORSEY, EARL RAY · 2018 to 2022
$9.2M
NINDS NIH HHS P50 NS108676
6 · The paper itself

Abstract

purpose of reviewDigital technology affords the opportunity to provide objective, frequent, and sensitive assessment of disease outside of the clinic environment. This article reviews recent literature on the application of digital technology in movement disorders, with a focus on Parkinson's disease (PD) and Huntington's disease. RECENT

findingsRecent research has demonstrated the ability for digital technology to discriminate between individuals with and without PD, identify those at high risk for PD, quantify specific motor features, predict clinical events in PD, inform clinical management, and generate novel insights. Digital technology has enormous potential to transform clinical research and care in movement disorders. However, more work is needed to better validate existing digital measures, including in new populations, and to develop new more holistic digital measures that move beyond motor features.

Indexed as

Huntington DiseaseParkinson DiseaseDigital TechnologyHumansDigital technologyHuntington’s diseaseMovement disordersParkinson’s diseaseSmartphonesWearable devices

Identifiers

PMID33660110
PMCPMC7928701

What OpenQuestion holds

Textmetadata
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.