Evidence map›Paper›PMID 34018047›Full record

ReviewJournal of neurology2022

Digital therapeutics in neurology.

G Abbadessa, F Brigo, M Clerico, S De Mercanti, F Trojsi, G Tedeschi, S Bonavita, L Lavorgna

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 pooled it
10.5field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 3 syntheses or guidelines pooled it, 115 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

8 authors at 3 institutions in 1 country.

G AbbadessaDivision of Neurology, University of Campania Luigi Vanvitelli, Naples, Italy.
F BrigoDepartment of Neurology, Hospital of Merano (SABES-ASDAA), 39012, Naples, Italy.
M ClericoClinical and Biological Sciences Department, University of Torino, 10124, Turin, Italy.
S De MercantiClinical and Biological Sciences Department, University of Torino, 10124, Turin, Italy.
F TrojsiDivision of Neurology, University of Campania Luigi Vanvitelli, Naples, Italy.
G TedeschiDivision of Neurology, University of Campania Luigi Vanvitelli, Naples, Italy.
S Bonavita *Division of Neurology, University of Campania Luigi Vanvitelli, Naples, Italy.
L Lavorgna *Division of Neurology, University of Campania Luigi Vanvitelli, Naples, Italy. luigi.lavorgna@policliniconapoli.it.ORCID http://orcid.org/0000-0003-4625-4236
University of Campania "Luigi Vanvitelli" · ITUniversity of Turin · ITKrankenhaus Meran · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital therapeutics (DTx) is a section of digital health defined by the DTx Alliance as "delivering evidence-based therapeutic interventions to patients that are driven by software to prevent, manage, or treat a medical disorder or disease. They are used independently or in concert with medications, devices, or other therapies to optimize patient care and health outcomes". Chronic disabling diseases could greatly benefit from DTx. In this narrative review, we provide an overview of DTx in the care of patients with neurological dysfunctions.

Indexed as

NeurologyChronic DiseaseHumansDigital therapeuticsExergamesNeurological disordersRehabilitationValidation studies

Identifiers

PMID34018047
PMCPMC8136262
OpenAlexW3160285689

What Socratic 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 Socratic graph.