Evidence map›Paper›PMID 38148981›Full record

ArticleFrontiers in neurology2023

Smartphone-based evaluation of static balance and mobility in long-lasting COVID-19 patients.

Bruna Danielle Campelo Corrêa, Enzo Gabriel Rocha Santos, Anderson Belgamo, Gustavo Henrique Lima Pinto, Stanley Soares Xavier, Camilla Costa Silva, Ápio Ricardo Nazareth Dias, Alna Carolina Mendes Paranhos, André Dos Santos Cabral, Bianca Callegari and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

14 authors at 3 institutions in 1 country.

Bruna Danielle Campelo CorrêaNúcleo de Teoria e Pesquisa do Comportamento, Universidade Federal do Pará, Belém, Brazil.
Enzo Gabriel Rocha SantosInstituto de Ciências e Exatas e Naturais, Universidade Federal do Pará, Belém, Brazil.
Anderson BelgamoInstituto Federal de São Paulo, Rio Claro, Brazil.
Gustavo Henrique Lima PintoInstituto de Ciências e Exatas e Naturais, Universidade Federal do Pará, Belém, Brazil.
Stanley Soares XavierCentro de Ciências Biológicas e da Saúde, Universidade do Estado do Pará, Belém, Brazil.
Camilla Costa SilvaCentro de Ciências Biológicas e da Saúde, Universidade do Estado do Pará, Belém, Brazil.
Ápio Ricardo Nazareth DiasCentro de Ciências Biológicas e da Saúde, Universidade do Estado do Pará, Belém, Brazil.
Alna Carolina Mendes ParanhosCentro de Ciências Biológicas e da Saúde, Universidade do Estado do Pará, Belém, Brazil.
André Dos Santos CabralCentro de Ciências Biológicas e da Saúde, Universidade do Estado do Pará, Belém, Brazil.
Bianca CallegariInstituto de Ciências da Saúde, Universidade Federal do Pará, Belém, Brazil.
Anselmo de Athayde Costa E SilvaInstituto de Ciências da Educação, Universidade Federal do Pará, Belém, Brazil.
Juarez Antônio Simões QuaresmaCentro de Ciências Biológicas e da Saúde, Universidade do Estado do Pará, Belém, Brazil.
Luiz Fábio Magno FalcãoCentro de Ciências Biológicas e da Saúde, Universidade do Estado do Pará, Belém, Brazil.
Givago Silva SouzaNúcleo de Medicina Tropical, Universidade Federal do Pará, Belém, Brazil.
Universidade Federal do Pará · BRUniversidade do Estado do Pará · BRFederal Institute of São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: SARS-CoV-2 infection can lead to a variety of persistent sequelae, collectively known as long COVID-19. Deficits in postural balance have been reported in patients several months after COVID-19 infection. The purpose of this study was to evaluate the static balance and balance of individuals with long COVID-19 using inertial sensors in smartphones. Methods: A total of 73 participants were included in this study, of which 41 had long COVID-19 and 32 served as controls. All participants in the long COVID-19 group reported physical complaints for at least 7 months after SARS-CoV-2 infection. Participants were evaluated using a built-in inertial sensor of a smartphone attached to the low back, which recorded inertial signals during a static balance and mobility task (timed up and go test). The parameters of static balance and mobility obtained from both groups were compared. Results: The groups were matched for age and BMI. Of the 41 participants in the long COVID-19 group, 22 reported balance impairment and 33 had impaired balance in the Sharpened Romberg test. Static balance assessment revealed that the long COVID-19 group had greater postural instability with both eyes open and closed than the control group. In the TUG test, the long COVID-19 group showed greater acceleration during the sit-to-stand transition compared to the control group. Conclusion: The smartphone was feasible to identify losses in the balance motor control and mobility of patients with long-lasting symptomatic COVID-19 even after several months or years. Attention to the balance impairment experienced by these patients could help prevent falls and improve their quality of life, and the use of the smartphone can expand this monitoring for a broader population.

Indexed as

inertial sensorslong COVID-19mobilitypostural balancesmartphone

Identifiers

PMID38148981
PMCPMC10750373
OpenAlexW4389565241

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.