Evidence map›Paper›PMID 37772286›Full record

ArticleMovement disorders clinical practice2023

Real-World Driving Data Indexes Dopaminergic Treatment Effects in Parkinson's Disease.

Jun Ha Chang, Danish Bhatti, Matthew Rizzo, Ergun Y Uc, John Bertoni, Jennifer Merickel

Abstract read
In one paragraph

Article in Movement disorders clinical practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Jun Ha ChangDepartment of Neurological Sciences University of Nebraska Medical Center Omaha Nebraska USA.ORCID https://orcid.org/0000-0003-2389-189X
Danish BhattiDepartment of Internal Medicine University of Central Florida Orlando Florida USA.
Matthew RizzoDepartment of Neurological Sciences University of Nebraska Medical Center Omaha Nebraska USA.
Ergun Y UcDepartment of Neurology University of Iowa Iowa City Iowa USA.
John BertoniDepartment of Neurological Sciences University of Nebraska Medical Center Omaha Nebraska USA.
Jennifer MerickelDepartment of Neurological Sciences University of Nebraska Medical Center Omaha Nebraska USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Driving is a complex, everyday task that impacts patient agency, safety, mobility, social connections, and quality of life. Digital tools can provide comprehensive real-world (RW) data on driver behavior in patients with Parkinson's disease (PD), providing critical data on disease status and treatment efficacy in the patient's own environment. Objective: This pilot study examined the use of driving data as a RW digital biomarker of PD symptom severity and dopaminergic therapy effectiveness. Methods: Naturalistic driving data (3974 drives) were collected for 1 month from 30 idiopathic PD drivers treated with dopaminergic medications. Prescriptions data were used to calculate levodopa equivalent daily dose (LEDD). The association between LEDD and driver mobility (number of drives) was assessed across PD severity, measured by the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Results: PD drivers with worse motor symptoms based on self-report (Part II: Conclusions: Results suggest that comprehensive RW driving data on PD patients may index disease status and treatment effectiveness to improve patient symptoms, safety, mobility, and independence. Higher dopaminergic treatment may enhance safe driver mobility in PD patients with worse symptom severity.

Indexed as

digital profilesdopaminergic medicationsdrivingMDS‐UPDRSParkinson's disease

Identifiers

PMID37772286
PMCPMC10525064

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.