Evidence map›Paper›PMID 37050456›Full record

SynthesisSensors (Basel, Switzerland)2023

Mobile App Interventions for Parkinson's Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review.

Andreas Triantafyllidis, Sofia Segkouli, Stelios Zygouris, Christina Michailidou, Konstantinos Avgerinakis, Evangelia Fappa, Sophia Vassiliades, Anastasia Bougea, Nikos Papagiannakis, Ioannis Katakis and 12 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
9.2field-weighted citation impact, top 2% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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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

22 authors at 6 institutions in 4 countries.

Andreas TriantafyllidisInformation Technologies Institute, Centre for Research and Technology Hellas, 57001 Thermi, Greece.
Sofia SegkouliInformation Technologies Institute, Centre for Research and Technology Hellas, 57001 Thermi, Greece.
Stelios ZygourisInformation Technologies Institute, Centre for Research and Technology Hellas, 57001 Thermi, Greece.ORCID 0000-0001-9384-1826
Christina MichailidouCatalink, 1040 Nicosia, Cyprus.ORCID 0000-0002-4222-469X
Konstantinos AvgerinakisCatalink, 1040 Nicosia, Cyprus.
Evangelia FappaWellics, London N1 7GU, UK.ORCID 0000-0002-7960-3378
Sophia VassiliadesWellics, London N1 7GU, UK.
Anastasia BougeaEginition Hospital, 1st Department of Neurology, Medical School, National and Kapodistrian University of Athens, 15772 Athens, Greece.ORCID 0000-0003-3006-8711
Nikos PapagiannakisEginition Hospital, 1st Department of Neurology, Medical School, National and Kapodistrian University of Athens, 15772 Athens, Greece.
Ioannis KatakisDepartment of Computer Science, School of Sciences and Engineering, University of Nicosia, 2417 Nicosia, Cyprus.ORCID 0000-0001-5283-9965
Evangelos MathioudisDepartment of Computer Science, School of Sciences and Engineering, University of Nicosia, 2417 Nicosia, Cyprus.ORCID 0000-0002-5756-6131
Alexandru SoriciDepartment of Computer Science, University Politechnica of Bucharest, 060042 Bucharest, Romania.ORCID 0000-0002-6850-0912
Lidia BajenaruDepartment of Computer Science, University Politechnica of Bucharest, 060042 Bucharest, Romania.
Valentina TageoWise Angle, 08330 Barcelona, Spain.ORCID 0000-0002-5590-5152
Francesco CamonitaWise Angle, 08330 Barcelona, Spain.ORCID 0000-0002-1844-4000
Christoniki Magga-NteveInformation Technologies Institute, Centre for Research and Technology Hellas, 57001 Thermi, Greece.
Stefanos VrochidisInformation Technologies Institute, Centre for Research and Technology Hellas, 57001 Thermi, Greece.ORCID 0000-0002-2505-9178
Ludovico PedullàFondazione Italiana Sclerosi Multipla, 16149 Genoa, Italy.
Giampaolo BrichettoFondazione Italiana Sclerosi Multipla, 16149 Genoa, Italy.ORCID 0000-0003-2026-3572
Panagiotis TsakanikasInstitute of Communication and Computer Systems, National Technical University of Athens, 10682 Athens, Greece.ORCID 0000-0002-9361-5922
Konstantinos VotisInformation Technologies Institute, Centre for Research and Technology Hellas, 57001 Thermi, Greece.ORCID 0000-0001-6381-8326
Dimitrios TzovarasInformation Technologies Institute, Centre for Research and Technology Hellas, 57001 Thermi, Greece.
Information Technologies Institute · GRAssociazione Italiana Sclerosi Multipla · ITNational and Kapodistrian University of Athens · GRUniversitatea Națională de Știință și Tehnologie Politehnica București · ROUniversity of Nicosia · CYNational Technical University of Athens · GR

Funding

European Union 101017558
6 · The paper itself

Abstract

Central nervous system diseases (CNSDs) lead to significant disability worldwide. Mobile app interventions have recently shown the potential to facilitate monitoring and medical management of patients with CNSDs. In this direction, the characteristics of the mobile apps used in research studies and their level of clinical effectiveness need to be explored in order to advance the multidisciplinary research required in the field of mobile app interventions for CNSDs. A systematic review of mobile app interventions for three major CNSDs, i.e., Parkinson's disease (PD), multiple sclerosis (MS), and stroke, which impose significant burden on people and health care systems around the globe, is presented. A literature search in the bibliographic databases of PubMed and Scopus was performed. Identified studies were assessed in terms of quality, and synthesized according to target disease, mobile app characteristics, study design and outcomes. Overall, 21 studies were included in the review. A total of 3 studies targeted PD (14%), 4 studies targeted MS (19%), and 14 studies targeted stroke (67%). Most studies presented a weak-to-moderate methodological quality. Study samples were small, with 15 studies (71%) including less than 50 participants, and only 4 studies (19%) reporting a study duration of 6 months or more. The majority of the mobile apps focused on exercise and physical rehabilitation. In total, 16 studies (76%) reported positive outcomes related to physical activity and motor function, cognition, quality of life, and education, whereas 5 studies (24%) clearly reported no difference compared to usual care. Mobile app interventions are promising to improve outcomes concerning patient's physical activity, motor ability, cognition, quality of life and education for patients with PD, MS, and Stroke. However, rigorous studies are required to demonstrate robust evidence of their clinical effectiveness.

Indexed as

Mobile ApplicationsMultiple SclerosisParkinson DiseaseStrokeHumansQuality of Lifemobile appsmultiple sclerosisneurological diseasesParkinson’s diseasereviewstroke

Identifiers

PMID37050456
PMCPMC10098868
OpenAlexW4360862285

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.