Evidence map›Paper›PMID 39328922›Full record

ArticleTherapeutic advances in neurological disorders2024

Clinical and device-based predictors of improved experience of activities of daily living after a multidisciplinary inpatient treatment for people with Parkinson's disease: a cohort study.

Judith Oppermann, Vera Tschentscher, Julius Welzel, Johanna Geritz, Clint Hansen, Ralf Gold, Walter Maetzler, Raphael Scherbaum, Lars Tönges

Abstract read
In one paragraph

Article in Therapeutic advances in neurological disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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  3. 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

9 authors.

Judith OppermannDepartment of Neurology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany.ORCID https://orcid.org/0009-0005-9372-0780
Vera TschentscherDepartment of Neurology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany.
Julius WelzelDepartment of Neurology, Kiel University, Kiel, Germany.
Johanna GeritzDepartment of Neurology, Kiel University, Kiel, Germany.
Clint HansenDepartment of Neurology, Kiel University, Kiel, Germany.
Ralf GoldDepartment of Neurology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany.
Walter MaetzlerDepartment of Neurology, Kiel University, Kiel, Germany.
Raphael ScherbaumDepartment of Neurology, St. Josef-Hospital, Ruhr University Bochum, Gudrunstr. 56, Bochum D-44791, Germany.ORCID https://orcid.org/0000-0003-0700-4197
Lars TöngesDepartment of Neurology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany.ORCID https://orcid.org/0000-0001-6621-144X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The inpatient Parkinson's Disease Multimodal Complex Treatment (PD-MCT) is an important therapeutical approach to improving gait and activities of daily living (ADL) of people with PD (PwP). Wearable device-based parameters (DBP) are new options for specific gait analyses toward individualized treatments. Objectives: We sought to identify predictors of perceived ADL benefit taking clinical scores and DBP into account. Additionally, we analyzed DBP and clinical scores before and after PD-MCT. Design: Exploratory observational cohort study. Methods: Clinical scores and DBP of 56 PwP (mean age: 66.3 years, median Hoehn and Yahr (H&Y) stage: 2.5) were examined at the start and the end of a 14-day inpatient PD-MCT in a German University Medical Center. Participants performed four straight walking tasks under single- and dual-task conditions for gait analyses. Additionally, clinical scores of motor and nonmotor functions and quality of life (QoL) were assessed. Using dichotomized data of change in Movement Disorders Society Unified Parkinson's Disease Rating Scale Part II (MDS-UPDRS II) as a dependent variable and clinical and DBP as independent variables, a binomial logistic regression model was implemented. Results: Young age, high perceived ADL impairment at baseline, high dexterity skills, and a steady gait were significant predictors of ADL benefit after PD-MCT. DBP like gait speed, number of steps, step time, stance time, and double limb support time were improved after PD-MCT. In addition, motor functions (e.g., MDS-UPDRS III and IV), QoL, perceived ADL (MDS-UPDRS II), and experience of nonmotor functions (MDS-UPDRS I) improved significantly. Conclusion: The logistic regression model identified a group of PwP who had the most probable perceived ADL benefit after PD-MCT. Additionally, gait improved toward a faster and more dynamic gait. Using wearable technology in context of PD-MCT is promising to offer more personalized therapeutical concepts. Trial registration: German Clinical Trial Register, https://drks.de; DRKS00020948 number, 30 March 2020, retrospectively registered.

Indexed as

activities of daily livinggaitinpatientsmultimodal treatmentParkinson’s diseasewearable electronic devices

Identifiers

PMID39328922
PMCPMC11425784

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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.