Evidence map›Paper›PMID 38856822›Full record

ReviewNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2024

The use of digital tools in rare neurological diseases towards a new care model: a narrative review.

Francesca Torri, Gabriele Vadi, Adriana Meli, Sara Loprieno, Erika Schirinzi, Piervito Lopriore, Giulia Ricci, Gabriele Siciliano, Michelangelo Mancuso

Abstract readReview
In one paragraph

Review in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Hereditary spastic paraplegia: from decades of therapy to future innovations.Therapeutic advances in neurological disorders · 2026
    Review
  5. Article
  6. 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

9 authors.

Francesca TorriDepartment of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy.
Gabriele VadiDepartment of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy.
Adriana MeliDepartment of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy.
Sara LoprienoDepartment of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy.
Erika SchirinziDepartment of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy.
Piervito LoprioreDepartment of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy.
Giulia RicciDepartment of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy.
Gabriele SicilianoDepartment of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy.
Michelangelo MancusoDepartment of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy. michelangelo.mancuso@unipi.it.ORCID http://orcid.org/0000-0003-2738-8562

Funding

EJPRD GENOMITFondazione Telethon GSP16001Next Generation EU and Italian Ministry of University and Research 2022B9WY4A
6 · The paper itself

Abstract

Rare neurological diseases as a whole share peculiar features as motor and/or cognitive impairment, an elevated disability burden, a frequently chronic course and, in present times, scarcity of therapeutic options. The rarity of those conditions hampers both the identification of significant prognostic outcome measures, and the development of novel therapeutic approaches and clinical trials. Collection of objective clinical data through digital devices can support diagnosis, care, and therapeutic research. We provide an overview on recent developments in the field of digital tools applied to rare neurological diseases, both in the care setting and as providers of outcome measures in clinical trials in a representative subgroup of conditions, including ataxias, hereditary spastic paraplegias, motoneuron diseases and myopathies.

Indexed as

Nervous System DiseasesRare DiseasesHumansDigital outcome measuresDigital toolsGait analysisRare neurological diseasesReachable workspaceWearable devices

Identifiers

PMID38856822
PMCPMC11422437

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.