Evidence map›Paper›PMID 38212814›Full record

ArticleOrphanet journal of rare diseases2024

Fabry App: the value of a portable technology in recording day-to-day patient monitored information in patients with Fabry disease.

Simona D'Amore, Mark Mckie, Andrew Fahey, David Bleloch, Giuseppina Grillo, Michael Hughes, Uma Ramaswami

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Simona D'AmoreLysosomal Storage Disorders Unit, Royal Free Hospital NHS Foundation Trust, Pond Street, London, NW3 2QG, UK.
Mark MckieLysosomal Storage Disorders Unit, Royal Free Hospital NHS Foundation Trust, Pond Street, London, NW3 2QG, UK.
Andrew FaheyHealthTouch Ltd, Little Halt, Bull Lane, Chislehurst, Kent, BR7 6NX, UK.
David BlelochLysosomal Storage Disorders Unit, Royal Free Hospital NHS Foundation Trust, Pond Street, London, NW3 2QG, UK.
Giuseppina GrilloLysosomal Storage Disorders Unit, Royal Free Hospital NHS Foundation Trust, Pond Street, London, NW3 2QG, UK.
Michael HughesHealthTouch Ltd, Little Halt, Bull Lane, Chislehurst, Kent, BR7 6NX, UK.
Uma RamaswamiLysosomal Storage Disorders Unit, Royal Free Hospital NHS Foundation Trust, Pond Street, London, NW3 2QG, UK. uma.ramaswami@nhs.net.ORCID 0000-0002-4703-7447
Royal Free London NHS Foundation Trust · GB

Funding

Society for Mucopolysaccharide Disease (MPS Society), UK Society of Mucopolysaccharide DiseaseSociety for Mucopolysaccharide Disease (MPS Society), UK UK
6 · The paper itself

Abstract

backgroundFabry disease is a rare inherited disorder resulting from deficient α-galactosidase A enzyme activity. Common disease manifestations are sweating abnormalities, neuropathic pain, gastrointestinal symptoms and fatigue. Challenges are faced by health care professionals in evaluating symptom burden in the current clinical setting, and the demand for alternative methods for monitoring disease-specific symptoms has seen an acceleration in recent years. Smartphone technologies offer the potential for continuity of care and surveillance. As a part of a quality improvement project, a disease specific app was developed in collaboration with a software company (Health Touch Ltd) and made available for patient use in May 2018. The Fabry mobile app records five categories: pain, gastrointestinal symptoms, sweating, activity levels, medications. Fabry disease patients with gastrointestinal and pain symptoms attending the Lysosomal Storage Disorders Unit of the Royal Free London NHS Foundation Trust were reviewed to assess eligibility and invited to download the app for recording their symptoms (activity, sweating, pain and gastrointestinal) and medications. Patient-generated data were transmitted to a secure website for clinicians to review.

resultsOne-hundred and thirty-nine symptomatic Fabry disease patients who had a smartphone (iPhone or android) were invited to download the app. Sixty-seven patients (26 males and 41 females; median age, 49 years [range, 20-81]) downloaded and tracked the Fabry App at least once. The median frequency of use per patient was 6 (range, 1-629). Pain in the hands and abdominal pain were significantly higher (p = 0.009 and p = 0.007, respectively) in patients with classic phenotype compared with patients with non-classic phenotypes.

conclusionsWe demonstrated the feasibility and acceptability of a smartphone app to facilitate the remote assessment and monitoring of Fabry disease symptom burden on a daily/weekly basis, as an alternative to the current standard of care that requires patients to recall their symptoms during 6 to 12 monthly annual clinic visits. Patients who were more likely to use the app had greater disease burden. This innovation has the potential to assess disease progression, early therapeutic intervention, thereby decreasing the burden of morbidity and mortality among Fabry patients, and to record long-term effects of Fabry-specific therapies.

Indexed as

Fabry DiseaseGastrointestinal DiseasesMobile ApplicationsNeuralgiaalpha-GalactosidaseFemaleHumansMaleMiddle Agedalpha-GalactosidaseDisease managementDisease monitoringFabry diseasePatient reported dataSmartphone applications

Identifiers

PMID38212814
PMCPMC11057153
OpenAlexW4390749307

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.