Evidence map›Paper›PMID 30363367›Full record

ReviewMovement disorders clinical practice

Handwriting Analysis in Parkinson's Disease: Current Status and Future Directions.

Mathew Thomas, Abhishek Lenka, Pramod Kumar Pal

Open access · greenAbstract readReview
In one paragraph

Review in Movement disorders clinical practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 150 citations in OpenAlex.

  1. Trial
  2. Article
  3. Dissociable Handwriting Domains in Parkinson's Disease?Movement disorders clinical practice · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Multitype hand writing as a digital marker for Parkinson's disease.Clinical parkinsonism & related disorders · 2026
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Mathew ThomasDepartment of Neurology National Institute of Mental Health and Neurosciences Bangalore Karnataka India.
Abhishek LenkaDepartment of Neurology National Institute of Mental Health and Neurosciences Bangalore Karnataka India.
Pramod Kumar PalDepartment of Neurology National Institute of Mental Health and Neurosciences Bangalore Karnataka India.
National Institute of Mental Health and Neurosciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe majority of patients with Parkinson's disease (PD) have handwriting abnormalities. Micrographia (abnormally small letter size) is the most commonly reported and easily detectable handwriting abnormality in patients with PD. However, micrographia is perhaps the tip of the iceberg representing the handwriting abnormalities in PD. Digitizing tablet technology, which has evolved over the last 2 decades, has made it possible to study the pressure and kinematic features of handwriting. This has resulted in a surge of studies investigating graphomotor impairment in patients with PD.

methodsThe objectives of this study were to review the evolution of the kinematic analysis of handwriting in PD and to provide an overview of handwriting abnormalities observed in PD along with future directions for research in this field. Articles for review were searched from the PubMed and SCOPUS databases.

resultsDigitizing tablet technologies have resulted in a shift of focus from the analysis of only letter size to the analysis of several kinematic features of handwriting. Studies based on the kinematic analysis of handwriting have revealed that patients with PD may have abnormalities in velocity, fluency, and acceleration in addition to micrographia. The recognition of abnormalities in several kinematic parameters of handwriting has given rise to the term

conclusionThe journey from micrographia to

Indexed as

dysgraphiahandwritingmicrographiaParkinson's disease

Identifiers

PMID30363367
PMCPMC6174397
OpenAlexW2756187730

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.