Evidence map›Paper›PMID 35059816›Full record

ReviewJournal of neurology2022

Emerging technologies for management of patients with amyotrophic lateral sclerosis: from telehealth to assistive robotics and neural interfaces.

Raffaele Pugliese, Riccardo Sala, Stefano Regondi, Benedetta Beltrami, Christian Lunetta

Open access · bronzeAbstract 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 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.4field-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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Raffaele PuglieseNeMO Lab, ASST Niguarda Cà Granda Hospital, Milan, Italy. raffaele.pugliese@nemolab.it.ORCID http://orcid.org/0000-0001-7669-4457
Riccardo SalaNeMO Lab, ASST Niguarda Cà Granda Hospital, Milan, Italy.
Stefano RegondiNeMO Lab, ASST Niguarda Cà Granda Hospital, Milan, Italy.
Benedetta BeltramiNeMO Lab, ASST Niguarda Cà Granda Hospital, Milan, Italy.
Christian LunettaNeMO Lab, ASST Niguarda Cà Granda Hospital, Milan, Italy. chrisitan.lunetta@nemolab.it.
Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS), also known as motor neuron disease, is characterized by the degeneration of both upper and lower motor neurons, which leads to muscle weakness and subsequently paralysis. It begins subtly with focal weakness but spreads relentlessly to involve most muscles, thus proving to be effectively incurable. Typically, death due to respiratory paralysis occurs in 3-5 years. To date, it has been shown that the management of ALS patients is best achieved with a multidisciplinary approach, and with the help of emerging technologies ranging from multidisciplinary teleconsults (for monitoring the dysphagia, respiratory function, and nutritional status) to brain-computer interfaces and eye tracking for alternative augmentative communication, until robotics, it may increase effectiveness. The COVID-19 pandemic created a spasmodic need to accelerate the development and implementation of such technologies in clinical practice, to improve the daily lives of both ALS patients and caregivers. However, despite the remarkable strides that have been made in the field, there are still issues to be addressed. This review will be discussed on the eureka moment of emerging technologies for ALS, used as a blueprint not only for neurodegenerative diseases, examining the current technologies already in place or being evaluated, highlighting the pros and cons for future clinical applications.

Indexed as

Amyotrophic Lateral SclerosisCOVID-19TelemedicineHumansMotor NeuronsPandemicsAmyotrophic lateral sclerosisBrain-computer interfaceClinical managementEmerging technologiesEye trackingInternet of thingsMotor neuron diseasesRoboticsTelemedicine

Identifiers

PMID35059816
PMCPMC8776511
OpenAlexW4205880557

What OpenQuestion holds

Textmetadata
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.