Evidence map›Paper›PMID 36498509›Full record

ArticleJournal of clinical medicine2022

Intra- and Inter-Rater Reliability and Agreement of Ultrasound Imaging of Muscle Architecture and Patellar Tendon in Post-COVID-19 Patients Who Had Experienced Moderate or Severe COVID-19 Infection.

Leandro Gomes de Jesus Ferreira, Álvaro de Almeida Ventura, Isabella da Silva Almeida, Henrique Mansur, Nicolas Babault, João Luiz Quagliotti Durigan, Rita de Cássia Marqueti

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Observational
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 2 institutions in 2 countries.

Leandro Gomes de Jesus FerreiraLaboratory of Muscle and Tendon Plasticity, Graduate Program in Rehabilitation Science, Faculdade de Ceilândia, Universidade de Brasília, Distrito Federal, Brasília 70910-900, Brazil.ORCID 0000-0001-7675-590X
Álvaro de Almeida VenturaLaboratory of Muscle and Tendon Plasticity, Graduate Program in Rehabilitation Science, Faculdade de Ceilândia, Universidade de Brasília, Distrito Federal, Brasília 70910-900, Brazil.
Isabella da Silva AlmeidaLaboratory of Muscle and Tendon Plasticity, Graduate Program in Rehabilitation Science, Faculdade de Ceilândia, Universidade de Brasília, Distrito Federal, Brasília 70910-900, Brazil.ORCID 0000-0001-9778-2800
Henrique MansurDepartment of Orthopaedics, Hospital Santa Helena-Rede D'or, Sao Paulo 03313-000, Brazil.ORCID 0000-0001-7527-969X
Nicolas BabaultCentre d'Expertise de la Performance, INSERM U1093 CAPS, Sports Science Faculty, University of Burgundy, 21000 Dijon, France.ORCID 0000-0001-6563-503X
João Luiz Quagliotti DuriganLaboratory of Muscle and Tendon Plasticity, Graduate Program in Rehabilitation Science, Faculdade de Ceilândia, Universidade de Brasília, Distrito Federal, Brasília 70910-900, Brazil.
Rita de Cássia MarquetiLaboratory of Muscle and Tendon Plasticity, Graduate Program in Rehabilitation Science, Faculdade de Ceilândia, Universidade de Brasília, Distrito Federal, Brasília 70910-900, Brazil.ORCID 0000-0001-9126-3882
Universidade de Brasília · BRInserm · FR

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior Finance Code 001Fundação de Apoio a Pesquisa do Distrito Federal 00193.00000773/2021-72, 00193.00000859/2021-3; 00193.00001222/2021-26National Council for Scientific and Technological Development 309435/2020-0 and 310269/2021
6 · The paper itself

Abstract

COVID-19 is associated with musculoskeletal disorders. Ultrasound is a tool to assess muscle architecture and tendon measurements, offering an idea of the proportion of the consequences of the disease, since significant changes directly reflect the reduction in the ability to produce force and, consequently, in the functionality of the patient; however, its application in post-COVID-19 infection needs to be determined. We aimed to assess the intra- and inter-rater reliability of ultrasound measures of the architecture of the vastus lateralis (VL), rectus femoris (RF), vastus medialis (VM), gastrocnemius lateralis (GL), gastrocnemius medialis (GM), soleus (SO), and tibialis anterior (TA) muscles, as well as the patellar tendon (PT) cross-sectional area (CSA) in post-COVID-19 patients. An observational, prospective study with repeated measures was designed to evaluate 20 post-COVID-19 patients, who were measured for the pennation angle (θp), fascicular length (Lf), thickness, echogenicity of muscles, CSA and echogenicity of the PT. The intra-class correlation coefficient (ICC) and 95% limits of agreement were used. The intra-rater reliability presented high or very high correlations (ICC = 0.71-1.0) for most measures, except the θp of the TA, which was classified as moderate (ICC = 0.69). Observing the inter-rater reliability, all the evaluations of the PT, thickness and echogenicity of the muscles presented high or very high correlations. For the Lf, only the RF showed as low (ICC = 0.43), for the θp, RF (ICC = 0.68), GL (ICC = 0.70) and TA (ICC = 0.71) moderate and the SO (ICC = 0.40) low. The ultrasound reliability was acceptable for the muscle architecture, muscle and tendon echogenicity, and PT CSA, despite the low reliability for the Lf and θp of the RF and SO, respectively.

Indexed as

inter-rater reliabilityintra-rater reliabilitymuscle thicknessmuscle ultrasoundultrasound feasibility

Identifiers

PMID36498509
PMCPMC9738112
OpenAlexW4309938073

What OpenQuestion holds

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LicenceCC BY
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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.