Evidence map›Paper›PMID 33304316›Full record

ArticleFrontiers in neurology2020

Lockdown During COVID-19 and the Increase of Frailty in People With Neurological Conditions.

Paulo H S Pelicioni, Jennifer S Schulz-Moore, Leigh Hale, Colleen G Canning, Stephen R Lord

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Interventions for preventing falls in Parkinson's disease.The Cochrane database of systematic reviews · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. A Literature Review of High-Tech Physiotherapy Interventions in the Elderly with Neurological Disorders.International journal of environmental research and public health · 2022
    Review
  6. Article
  7. Article
  8. 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

5 authors at 3 institutions in 2 countries.

Paulo H S PelicioniNeuroscience Research Australia, University of New South Wales, Sydney, NSW, Australia.
Jennifer S Schulz-MooreFaculty of Law, University of New South Wales, Sydney, NSW, Australia.
Leigh HaleSchool of Physiotherapy, University of Otago, Dunedin, New Zealand.
Colleen G CanningDiscipline of Physiotherapy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Stephen R LordNeuroscience Research Australia, University of New South Wales, Sydney, NSW, Australia.
UNSW Sydney · AUUniversity of Otago · NZUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Governments around the globe have introduced quarantine, lockdown, and mandatory isolation to slow the transmission of COVID-19. These public health and policy measures aim to protect the public and vulnerable people. This perspective paper argues that the impacts of lockdown (such as social disconnection, reduced exercise, and fewer physiotherapy treatments) may be amplified for people with neurological conditions with subsequent increases in frailty. The paper outlines why this may occur, and explores how adverse impacts for these vulnerable populations may be minimized through strategies such as telehealth, exercise programs, and health policies.

Indexed as

COVID-19fallsfrailtyhealth policylockdownneurological conditionsphysical inactivity

Identifiers

PMID33304316
PMCPMC7701276
OpenAlexW3105661473

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.