Evidence map›Paper›PMID 31456679›Full record

SynthesisFrontiers in neuroinformatics2019

Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment.

Gianmaria Mancioppi, Laura Fiorini, Marco Timpano Sportiello, Filippo Cavallo

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neuroinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Functional autonomy in dementia of the Alzheimer's type, mild cognitive impairment, and healthy aging: a meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Can assistive technology support social services during Covid-19 emergency? Barriers and opportunities.International journal on interactive design and manufacturing · 2022
    Article
  9. Article
  10. Biosensors toward behavior detection in diagnosis of alzheimer's disease.Frontiers in bioengineering and biotechnology · 2022
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. 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

4 authors at 2 institutions in 1 country.

Gianmaria MancioppiThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Laura FioriniThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Marco Timpano SportielloLaboratory of Neuropsychology, USL Nordovest Toscana, Pisa, Italy.
Filippo CavalloThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Scuola Superiore Sant'Anna · ITAzienda Usl Toscana Centro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease, and dementia, represent a common cause of disability and one of the most relevant challenges in the health world. In addition, these conditions do not have, at moment, a pharmacological treatment that can stop the pathological progress. Mild cognitive impairment (MCI), defined as the borderline between normal aging and early dementia, represents a meaningful field of study because, in the transition to dementia, clinicians have defined a useful therapeutic window. Additionally, due to the lack of effective pharmacological interventions, recent years have seen an increase in research into new technological solutions to assess, stimulate, and assist patients afflicted with Alzheimer's disease. This review aims to outline the use of information and communication technologies in the field studying MCI. Particularly, the goal is to depict the framework and describe the most worthwhile research efforts, in order to display the current technologies available, describe the research objectives, and delineate prospective future researches. Regarding data sources, the research was conducted within three databases, PubMed Central, Web of Science, and Scopus, between January 2009 and December 2017. A total of 646 articles were found in the initial search. Accurate definition of the exclusion criteria and selection strategy allowed identification of the most relevant papers to use for the study. Finally, 56 papers were fully evaluated and included in this review. Three major clinical application areas have been portrayed, namely "Cognitive Assessment," "Treatment," and "Assistance." These have been combined with three main technological solutions, specifically "Sensors," "Personal Devices," and "Robots." Furthermore, the study of the publications time series illustrates a steadily increasing trend, characterized by the enrollment of small groups of subjects, and particularly oriented to the subjects assistance using robots companion. In conclusion, despite the new technological solutions for people with MCI have received much interest, particularly regarding robots for assistance, nowadays it still owns vast room for improvement.

Indexed as

assistive technologiescognitive stimulationcognitive support technologiesdementia-Alzheimer diseaseICTmild cognitive impairmentneuropsychological measuressocial robotics/HRI

Identifiers

PMID31456679
PMCPMC6700331
OpenAlexW2956168062

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.