Evidence map›Paper›PMID 41262226›Full record

ArticleEquity neuroscience2025

Locally adapting digital health technologies to address the global challenge of Parkinson's disease.

Karlo J Lizárraga, Isabel Camargo Salazar, Christine Zizzi, Stefano Romero, José Centeno Arispe, Alejandro Vela Quico, Timothy D Dye, E Ray Dorsey, Benjamín Castaneda

Abstract read
In one paragraph

Article in Equity neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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.

Karlo J LizárragaDepartment of Neurology, University of Rochester, Rochester, NY, USA.
Isabel Camargo SalazarFacultad de Medicina, Universidad Nacional de San Agustín de Arequipa, Arequipa, Perú.
Christine ZizziDepartment of Neurology, University of Rochester, Rochester, NY, USA.
Stefano RomeroDepartamento de Ingeniería, Pontificia Universidad Católica del Perú, Lima, Perú.
José Centeno ArispeServicio de Neurología, Hospital Regional Honorio Delgado Espinoza, Arequipa, Perú.
Alejandro Vela QuicoFacultad de Medicina, Universidad Nacional de San Agustín de Arequipa, Arequipa, Perú.
Timothy D DyeDepartment of Obstetrics and Gynecology, University of Rochester, Rochester, NY, USA.
E Ray DorseyDepartment of Neurology, University of Rochester, Rochester, NY, USA.
Benjamín CastanedaDepartamento de Ingeniería, Pontificia Universidad Católica del Perú, Lima, Perú.

Funding

Training in Research to Assure Neuroscience Scholars Cultivate Expertise in Notable Disparities Science (TRANSCENDS)R25NS098999 · NINDS · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI BRUCE OVBIAGELE · 2017 to 2026
$2.5M
NINDS NIH HHS R25 NS098999
6 · The paper itself

Abstract

Parkinson's disease is the fastest growing neurological disorder worldwide. As the global burden of the disease continues to grow, along with the environmental consequences of industrialization, it remains essential to diagnose, treat, and study Parkinson's disease among historically marginalized populations living in remote and relatively unindustrialized regions of the world. The diagnosis and monitoring of the motor manifestations of the disease depends on in-person examination of the speed, amplitude, and frequency of movement by trained providers. Digital health technologies allow synchronous, remote, video-based access to trained providers able to diagnose and monitor the progression of Parkinson's disease using clinical rating scales. Digital health technologies can be expensive, and their use requires sustainable access to trained providers, powerful computers and high-speed internet that are not widely available for historically marginalized populations, such as those living in remote Andean regions of Latin America. Local adaptation of health technologies could be promoted in partnership with historically marginalized communities to study their unique epidemiology while building local capacity to expand care and support community-driven education and research efforts.

Indexed as

Capacity buildingDigital health technologiesGlobal healthHistorically marginalized communitiesParkinson’s disease

Identifiers

PMID41262226
PMCPMC12624569

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.