Evidence map›Paper›PMID 41694673›Full record

ArticleParkinson's disease2026

The Use of a Digital Social Forum in a Parkinson's Disease Risk Cohort: A Thematic Analysis of Forum Messages.

Laura J Smith, Janusiya Jeyaganesh, Xiancheng Li, Aneet Gill, Anette Schrag, Brook Huxford, Cristina Simonet, Laura Pérez-Carbonell, Alastair J Noyce, Anna De Simoni

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Parkinson's disease, 2026. 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. 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

10 authors.

Laura J SmithCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, UK, qmul.ac.uk.ORCID https://orcid.org/0000-0003-3275-1530
Janusiya JeyaganeshCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, UK, qmul.ac.uk.
Xiancheng LiSchool of Business and Management, Queen Mary University of London, London, UK, qmul.ac.uk.ORCID https://orcid.org/0009-0003-3734-1634
Aneet GillCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, UK, qmul.ac.uk.
Anette SchragQueen Square Institute of Neurology, University College London, London, UK, ucl.ac.uk.ORCID https://orcid.org/0000-0002-9872-6680
Brook HuxfordCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, UK, qmul.ac.uk.ORCID https://orcid.org/0000-0002-5908-6983
Cristina SimonetCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, UK, qmul.ac.uk.ORCID https://orcid.org/0000-0002-5555-0283
Laura Pérez-CarbonellSleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK, nhs.uk.ORCID https://orcid.org/0000-0002-1252-6742
Alastair J NoyceCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, UK, qmul.ac.uk.ORCID https://orcid.org/0000-0003-3027-5497
Anna De SimoniCentre for Primary Care, Wolfson Institute of Population Health, Queen Mary University of London, London, UK, qmul.ac.uk.ORCID https://orcid.org/0000-0001-6955-0885

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reduced social engagement is associated with increased risk of incident Parkinson's disease (PD). Online peer support provides opportunities to develop new social connections. A digital social forum was recently embedded within PREDICT-PD, an online UK cohort study that stratifies participants for risk of future PD, to explore the feasibility of digital social engagement as an intervention to modify PD risk. Objective: This study reports on the content of messages exchanged on the forum to better understand how this was used and experienced. Methods: 364 public posts from 218 distinct users were analysed using thematic analysis. Results: Members created a sense of community through disclosing personal information and reaching out to others. Experiences were shared in relation to symptom appraisal, emotional impacts and routes to diagnosis. Practical advice, resources and information were exchanged to aid symptom management and proactive lifestyle changes. Users discussed their aspirations for timely diagnosis and treatment within healthcare, further research funding to aid prevention and treatment, and greater awareness of PD within society. Technical issues with the forum were reported, and accessibility was viewed as a potential barrier. Conclusions: The online forum provided a peer support environment for people with similar health experiences to connect, exchange information and emotional support, and engage in discussions around political and social issues unique to PD. This highlights the potential of leveraging online peer support to promote social engagement in prodromal PD. Further research is needed to examine the effect on PD risk and develop accessible technologies.

Indexed as

online forumParkinson’s diseaseprodromalrisksocial engagementthematic analysis

Identifiers

PMID41694673
PMCPMC12903991

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.