Evidence map›Paper›PMID 40854002›Full record

ArticleMovement disorders clinical practice2025

An Exploration of the High Prevalence of Parkinson's Disease in a Rural Area of North West England.

Rosanna Varden, Ailish O'Callaghan, Richard Walker

Abstract read
In one paragraph

Article in Movement disorders clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Rosanna VardenNorth Cumbria Integrated Care NHS Foundation Trust, Carlisle, UK.ORCID https://orcid.org/0009-0006-4939-7880
Ailish O'CallaghanNorth Cumbria Integrated Care NHS Foundation Trust, Carlisle, UK.
Richard WalkerNewcastle University, Newcastle-upon-Tyne, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally the prevalence of Idiopathic Parkinson's Disease (IPD) is rising. Increasing recognition is being given to the influence of environmental factors on this rise, although the precise impact of such factors remains poorly understood. We need accurate ways of measuring prevalence to understand regional and global trends.

objectivesTo use case finding methodology to measure the crude, and age adjusted, prevalence of IPD in a rural area of North West England, and to describe the difference in results with those obtained using electronic record searching alone to understand the accuracy of such methods. To compare prevalence between subgroups to build hypotheses that could guide further research.

methodsLocal Parkinson's service records from several sources were searched electronically and manually reviewed against validated diagnostic criteria. Figures were age adjusted according to the national denominator population.

resultsThe age adjusted prevalence of IPD was 201/100,000 (95% CI 186-217), higher than in any other published UK study using similar case finding methods. Numbers were higher using electronic diagnostic code searching alone, which may over estimate prevalence. No significant difference was seen between rural and urban areas, relative risk 0.92 (95% CI 0.80-1.06), although there was a trend to higher prevalence in historically industrial coastal areas.

conclusionsThis study highlights some of the pitfalls in using large healthcare datasets to measure IPD prevalence. Overall, the prevalence of IPD is high in this predominantly rural area, and exhibits prevalence trends that warrant further investigation in relation to genetic and environmental factors.

Indexed as

Parkinson DiseaseRural PopulationAdultAgedAged, 80 and overEnglandFemaleHumansMaleMiddle AgedPrevalenceepidemiologyParkinson'sprevalenceread code

Identifiers

PMID40854002
PMCPMC12715368

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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.