Evidence map›Paper›PMID 41820500›Full record

ArticleScientific reports2026

North-South asymmetry of Parkinson's disease mortality in Brazil between 2009 and 2023: a spatial analysis.

Ariana Moura Cabral, Slawomir J Nasuto, Julián Benito-León, Clarissa Cardoso Dos Santos-Couto-Paz, Eduardo Rocon, Adriano de Oliveira Andrade

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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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0citing papers 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

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Ariana Moura CabralCentre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil. arianacabral57@ufu.br.
Slawomir J Nasuto *Biomedical Sciences and Biomedical Engineering Division, School of Biological Sciences, University of Reading, Reading, UK.
Julián Benito-León *Department of Neurology, 12 de Octubre University Hospital, Madrid, Spain.
Clarissa Cardoso Dos Santos-Couto-PazFaculty of Health Sciences and Technologies, University of Brasilia, Brasília, Brasil.
Eduardo RoconBioRobotics Group, Centre for Automation and Robotics (CAR), Madrid, Spain.
Adriano de Oliveira AndradeCentre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 174190/2023-9Fundação de Amparo á Pesquisa do Estado de Minas Gerais APQ-05015-24Recovery, Transformation, and Resilience Plan of the Spanish Ministry of Science and Innovation TED2021-130174B-C33Spanish National Institutes of Health R01 NS39422
6 · The paper itself

Abstract

This study investigated potential regional disparities in the mortality of individuals with Parkinson’s disease (PD) in Brazil. A nationwide ecological study was conducted investigating the spatial distribution of sex- and age-adjusted mortality rates of individuals with PD, whose deaths were caused or associated with the disease, in the Brazilian intermediate regions between 2009 and 2023. Global and local spatial analyses were conducted using the global and local Moran’s indices at a 95% confidence level to assess the presence of spatial dependence in mortality rates and identify spatial clusters in the country. The findings demonstrated that the PD mortality adjusted rates are uneven across the Brazilian territory, with higher rates in the south and lower in the north. It is hypothesized that the well-established gradient between the north and south can be caused by various factors, including population ageing, longer survival among people with PD, as well as environmental factors but can also be influenced by socio-economic vulnerabilities and disparities in access to specialized health services. In Brazil, PD has become a serious public health problem with marked regional differences over the years. It is therefore essential to develop public policies in Brazil that protect the health of residents with PD, mitigate risk factors, and ensure better living conditions throughout the disease’s progression.

Indexed as

Parkinson DiseaseAgedBrazilFemaleHumansMaleRisk FactorsSocioeconomic Disparities in HealthSpatial AnalysisHealth monitoringMoran’s indexMortalityParkinson’s diseaseSpatial analysis

Identifiers

PMID41820500
PMCPMC13103396

What OpenQuestion holds

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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.