Evidence map›Paper›PMID 42640743›Full record

ArticleJournal of Parkinson's disease2026

Kinetic-rest tremor dominance for differentiating dystonic tremor from Parkinson's disease.

Takashi Tsuboi, Takashi Uematsu, Miki Hashida, Yoshiki Ito, Keito Sawada, Moeka Higuchi, Tomotaka Ishizaki, Takahiko Tsugawa, Satoshi Maesawa, Kenshiro Fuse and 10 more

Abstract read
In one paragraph

Article in Journal of Parkinson's disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Takashi TsuboiDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0001-5042-3181
Takashi UematsuDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Miki HashidaFocused Ultrasound Therapy Center, Nagoya Kyoritsu Hospital, Nagoya, Japan.
Yoshiki ItoDepartment of Neurosurgery, National Hospital Organization, Nagoya Medical Center, Nagoya, Japan.
Keito SawadaGraduate School of Informatics, Nagoya University, Nagoya, Japan.
Moeka HiguchiGraduate School of Engineering, Nagoya University, Nagoya, Japan.
Tomotaka IshizakiDepartment of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Takahiko TsugawaFocused Ultrasound Therapy Center, Nagoya Kyoritsu Hospital, Nagoya, Japan.
Satoshi MaesawaDepartment of Neurosurgery, National Hospital Organization, Nagoya Medical Center, Nagoya, Japan.
Kenshiro FuseDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yuki SaitoDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Taiki FukushimaDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Daigo TamakoshiDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Keita HiragaDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0002-0134-2956
Masashi SuzukiDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Ryuta SaitoDepartment of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0002-2484-1360
Adolfo Ramirez-ZamoraDepartment of Neurology, University of Louisville, Louisville, KY, USA.ORCID 0000-0001-9253-3899
Christopher W HessDepartment of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, USA.
Michael S OkunDepartment of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, USA.ORCID 0000-0002-6247-9358
Masahisa KatsunoDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundDifferentiating dystonic tremor (DT) from Parkinson's disease (PD) remains challenging, particularly when dystonic signs are subtle, and DT is a major contributor to scans without evidence of dopaminergic deficit. Although dopamine transporter imaging can support the distinction, it is costly and not universally accessible. Simple diagnostic indicators less reliant on subjective clinical interpretation are needed.MethodsIn a dopamine transporter imaging-supported cohort (n = 102; DT, 51; PD, 51), we used accelerometry to characterize ordinal patterns of tremor amplitude across rest, postural, and kinetic (spiral drawing) conditions. Candidate ordinal rules were evaluated, and the rule with the highest classification accuracy was selected for subsequent blinded visual assessment by three raters within the same cohort.ResultsAccelerometry showed greater kinetic tremor amplitude in DT and greater rest tremor amplitude in PD, whereas postural tremor amplitude did not differ significantly between groups. Among candidate ordinal rules, the pairwise comparison of kinetic versus rest tremor amplitude achieved the highest overall diagnostic performance for identifying DT (90% sensitivity, 85% specificity, 88% accuracy). Blinded visual classification of this rule showed excellent inter-rater agreement (Fleiss' κ = 0.92), high concordance with accelerometer-based classification (Cohen's κ = 0.86), and 90% sensitivity, 88% specificity, and 89% accuracy.ConclusionsA simple visual comparison of tremor amplitude during spiral drawing versus at rest required no specialized equipment and showed high reproducibility in blinded ratings. Although probabilistic and requiring validation in independent cohorts, this approach may serve as a practical bedside adjunct for distinguishing DT from PD.

Indexed as

accelerometrybedside assessmentdifferential diagnosisdopamine transporter imagingdystonic tremorParkinson's disease

Identifiers

PMID42640743
PMCPMC13506976

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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.