Evidence map›Paper›PMID 41635322›Full record

ArticleCureus2026

Intensive Conventional Rehabilitation for Reducing Upper Limb Co-contraction and Functional Improvement in Parkinson's Disease: A Case Report.

Bando Kyota, Terunori Sano, Yuta Miyazaki, Masaki Takao, Takatoshi Hara

Abstract readCase Reports
In one paragraph

Article in Cureus, 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

5 authors.

Bando KyotaDepartment of Rehabilitation, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, JPN.
Terunori SanoDepartment of General Internal and Laboratory Medicine, National Center of Neurology and Psychiatry, Tokyo, JPN.
Yuta MiyazakiDepartment of Rehabilitation, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, JPN.
Masaki TakaoDepartment of General Internal and Laboratory Medicine, National Center of Neurology and Psychiatry, Tokyo, JPN.
Takatoshi HaraDepartment of Rehabilitation, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Upper limb dysfunction significantly impairs activities of daily living in patients with Parkinson's disease (PD). This dysfunction is partially attributable to abnormal muscle contraction. Although robot-assisted therapy improves upper limb function in patients with PD, these devices are expensive and not easily accessible in standard rehabilitation facilities. Non-robotic interventions, such as repetitive large-amplitude movements, improve upper-limb performance; however, whether these conventional exercises could improve co-contraction remains unclear. Herein, we present the case of a 70-year-old man with PD (Hoehn and Yahr Scale, stage 2) who presented with bradykinesia and difficulty moving his right arm. He underwent a two-week intensive rehabilitation program (1 h per day for five days a week) focusing on upper limb training. Following the intervention, the nine-hole peg test times and mean co-contraction index during reaching showed clinically significant improvements in both upper limbs, exceeding the minimal detectable change. This functional recovery was accompanied by a physiological reduction in muscle co-contraction. These results suggest that intensive conventional rehabilitation could be an effective and accessible alternative to robotic therapy for modulating muscle tone.

Indexed as

case reportco-contractionelectromyographyparkinson’s diseaserehabilitationupper limb function

Identifiers

PMID41635322
PMCPMC12862226

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Registered trials

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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.