Evidence map›Paper›PMID 39650241›Full record

ArticleFrontiers in neurology2024

Evaluation of motor fluctuations in Parkinson's disease: electronic vs. conventional paper diaries.

Kanako Asai, Sayo Kawahara, Emi Shirahata, Kimihiro Iwasaki, Hikoichiro Nakai, Yuta Kajiyama, Seira Taniguchi, Lindun Ge, Keita Kakuda, Yasuyoshi Kimura and 4 more

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Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Kanako AsaiDepartment of Neurology, Osaka University Graduate School of Medicine, Suita, Japan.
Sayo KawaharaACCELStars, Bunkyo-ku, Tokyo, Japan.
Emi ShirahataDepartment of Neurology, Osaka University Graduate School of Medicine, Suita, Japan.
Kimihiro IwasakiACCELStars, Bunkyo-ku, Tokyo, Japan.
Hikoichiro NakaiACCELStars, Bunkyo-ku, Tokyo, Japan.
Yuta KajiyamaDepartment of Neurology, Kawasaki Medical School, Kurashiki, Okayama, Japan.
Seira TaniguchiDepartment of Neurology, Osaka University Graduate School of Medicine, Suita, Japan.
Lindun GeDepartment of Neurology, Osaka University Graduate School of Medicine, Suita, Japan.
Keita KakudaDepartment of Neurology, Osaka University Graduate School of Medicine, Suita, Japan.
Yasuyoshi KimuraDepartment of Neurology, Osaka University Graduate School of Medicine, Suita, Japan.
Tadashi MiyaharaACCELStars, Bunkyo-ku, Tokyo, Japan.
Hiroki R UedaACCELStars, Bunkyo-ku, Tokyo, Japan.
Kensuke IkenakaDepartment of Neurology, Osaka University Graduate School of Medicine, Suita, Japan.
Hideki MochizukiDepartment of Neurology, Osaka University Graduate School of Medicine, Suita, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Paper symptom diaries are a common tool for assessing motor fluctuations in Parkinson's disease (PD) patients, but there are concerns about inaccuracies in the assessment of motor fluctuation due to recall bias and poor compliance. We, therefore, developed an electronic diary with reminder and real-time recording functions. Objectives and methods: To evaluate the effectiveness of the electronic diary, we compared compliance and motor fluctuation assessment with a paper diary. Nineteen PD patients were recruited and recorded paper diaries every 30 min from 8 am to 8 pm for 7 days, followed by 7 days of electronic diary recording using a smartphone and smartwatch. Prior to the recording period, the Parkinson's Disease Questionnaire (PDQ)-39 and the Movement Disorders Society-sponsored Unified Parkinson's Disease Rating Scale-Revised (MDS-UPDRS) 1, 2, 3, 4 were measured. Patients completed a patient questionnaire on the usability of the diaries after the recording period. Results: Total reported time was significantly longer in paper diaries, but there was no significant difference in the number of entries (paper 115 [71-147] vs. electronic 109 [93-116], Conclusion: Electronic diaries are useful tools that more accurately reflect PD motor fluctuations.

Indexed as

electric devicemotor fluctuationsmotor symptom diaryParkinson’s diseasepatient reported outcome measures

Identifiers

PMID39650241
PMCPMC11622251

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