Evidence map›Paper›PMID 33493786›Full record

SynthesisParkinsonism & related disorders2021

The use of wearable/portable digital sensors in Huntington's disease: A systematic review.

Rosanna Tortelli, Filipe B Rodrigues, Edward J Wild

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Parkinsonism & related disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
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  12. Huntington's Disease: Latest Frontiers in Therapeutics.Current neurology and neuroscience reports · 2024
    Review
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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

3 authors at 1 institution in 1 country.

Rosanna TortelliUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Filipe B RodriguesUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Edward J WildUCL Huntington's Disease Centre, UCL Queen Square Institute of Neurology, University College London, London, UK. Electronic address: e.wild@ucl.ac.uk.
University College London · GB

Funding

Medical Research Council MR/M008592/1
6 · The paper itself

Abstract

In chronic neurological conditions, wearable/portable devices have potential as innovative tools to detect subtle early disease manifestations and disease fluctuations for the purpose of clinical diagnosis, care and therapeutic development. Huntington's disease (HD) has a unique combination of motor and non-motor features which, combined with recent and anticipated therapeutic progress, gives great potential for such devices to prove useful. The present work aims to provide a comprehensive account of the use of wearable/portable devices in HD and of what they have contributed so far. We conducted a systematic review searching MEDLINE, Embase, and IEEE Xplore. Thirty references were identified. Our results revealed large variability in the types of sensors used, study design, and the measured outcomes. Digital technologies show considerable promise for therapeutic research and clinical management of HD. However, more studies with standardized devices and harmonized protocols are needed to optimize the potential applicability of wearable/portable devices in HD.

Indexed as

Wearable Electronic DevicesHumansHuntington DiseaseBiomarkersDigital technologyHuntington's diseasePortable sensorsWearable sensors

Identifiers

PMID33493786
PMCPMC7957324
OpenAlexW3119078265

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.