Evidence map›Paper›PMID 38660090›Full record

ArticleFrontiers in neurology2024

A proof of concept: digital diary using 24-hour monitoring using wearable device for patients with Parkinson's disease in nursing homes.

Hikaru Kamo, Genko Oyama, Yui Yamasaki, Tomohiro Nagayama, Ryotatsu Nawashiro, Nobutaka Hattori

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Midbrain length by the one-line method predicts motor outcome after deep brain stimulation in Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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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

6 authors at 4 institutions in 1 country.

Hikaru KamoDepartment of Neurology, Juntendo University School of Medicine, Tokyo, Japan.
Genko OyamaDepartment of Neurology, Juntendo University School of Medicine, Tokyo, Japan.
Yui YamasakiSunwels Company Limited, Chiyoda-ku, Tokyo, Japan.
Tomohiro NagayamaSunwels Company Limited, Chiyoda-ku, Tokyo, Japan.
Ryotatsu NawashiroSunwels Company Limited, Chiyoda-ku, Tokyo, Japan.
Nobutaka HattoriDepartment of Neurology, Juntendo University School of Medicine, Tokyo, Japan.
Juntendo University · JPSuntory (Japan) · JPJNC (Japan) · JPRIKEN Center for Brain Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the advanced stages of Parkinson's disease (PD), motor complications such as wearing-off and dyskinesia are problematic and vary daily. These symptoms need to be monitored precisely to provide adequate care for patients with advanced PD. Methods: This study used wearable devices to explore biomarkers for motor complications by measuring multiple biomarkers in patients with PD residing in facilities and combining them with lifestyle and clinical assessments. Data on the pulse rate and activity index (metabolic equivalents) were collected from 12 patients over 30 days. Results: The pulse rate and activity index during the Conclusion: These results suggest the pulse rate and activity index combination would be a useful indicator of wearing-off and dyskinesia and that biometric information from wearable devices may function as a digital diary. Accumulating more cases and collecting additional data are necessary to verify our findings.

Indexed as

dyskinesiaheart rateParkinson’s diseasephysiological biomarkerwearable devicewearing off

Identifiers

PMID38660090
PMCPMC11041395
OpenAlexW4394692639

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.