Evidence map›Paper›PMID 33025327›Full record

ReviewNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2021

Telemedicine for management of patients with amyotrophic lateral sclerosis through COVID-19 tail.

Alessandro Bombaci, Gianmarco Abbadessa, Francesca Trojsi, Letizia Leocani, Simona Bonavita, Luigi Lavorgna, Digital Technologies, Web and Social Media Study Group of the Italian Society of Neurology

Open access · hybridAbstract readReview
In one paragraph

Review in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
4.3field-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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. A comprehensive guide to digital neurology. An update on current development on digital neurology derived from the Digital Neuro Hub project.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  4. Article
  5. The use of digital tools in rare neurological diseases towards a new care model: a narrative review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. The future of neurology after the COVID-19 pandemic according to neurology residents.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Low online search interest in teleneurology before and during COVID-19 pandemic: an infodemiological study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Article
  17. Acute telestroke evaluations during the COVID-19 pandemic.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Article
  18. Article
  19. Article
  20. 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

7 authors at 3 institutions in 1 country.

Alessandro Bombaci *"Rita Levi Montalcini" Department of Neuroscience, University of Torino, Turin, Italy.
Gianmarco Abbadessa *Department of Advanced Medical and Surgical Sciences, II Clinic of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy. gianmarcoabbadessa@live.com.ORCID http://orcid.org/0000-0001-8912-3055
Francesca TrojsiDepartment of Advanced Medical and Surgical Sciences, I Clinic of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy.
Letizia LeocaniDepartment of Neurorehabilitation, IRCCS San Raffaele Hospital, Milan, Italy.
Simona BonavitaDepartment of Advanced Medical and Surgical Sciences, II Clinic of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy.
Luigi LavorgnaDepartment of Advanced Medical and Surgical Sciences, I Clinic of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy. Luigilavorgna@policliniconapoli.it.
Digital Technologies, Web and Social Media Study Group of the Italian Society of Neurology
University of Campania "Luigi Vanvitelli" · ITUniversity of Turin · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last months, due to coronavirus disease (COVID-19) pandemic, containment measures have led to important social restriction. Healthcare systems have faced a complete rearrangement of resources and spaces, with the creation of wards devoted to COVID-19 patients. In this context, patients affected by chronic neurological diseases, such as amyotrophic lateral sclerosis (ALS), are at risk to be lost at follow-up, leading to a higher risk of morbidity and mortality. Telemedicine may allow meet the needs of these patients. In this commentary, we briefly discuss the digital tools to remotely monitor and manage ALS patients. Focusing on detecting disease progression and preventing life-threatening conditions, we propose a toolset able to improve ALS management during this unprecedented situation.

Indexed as

COVID-19Monitoring, AmbulatorySeverity of Illness IndexTelemedicineAmyotrophic Lateral SclerosisHumansALS patientsCOVID-19Remote monitoringTele-healthTelemedicineTeleneurology

Identifiers

PMID33025327
PMCPMC7538170
OpenAlexW3091938143

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.