Evidence map›Paper›PMID 34174508›Full record

Observational studyJournal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology2021

EMG breakpoints for detecting anaerobic threshold and respiratory compensation point in recovered COVID-19 patients.

Murillo Frazão, Paulo Eugênio Silva, Lucas de Assis Pereira Cacau, Tullio Rocha Petrucci, Mariela Cometki Assis, Amilton da Cruz Santos, Maria do Socorro Brasileiro-Santos

Open access · greenAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 4 institutions in 1 country.

Murillo FrazãoLaboratory of Physical Training Studies Applied to Health, Physical Education Department, Universidade Federal da Paraíba (UFPB), João Pessoa, PB, Brazil; Associate Graduate Programme in Physical Education UPE/UFPB, PB, Brazil; Lauro Wanderley University Hospital, UFPB, PB, Brazil; CLINAR - Exercise Physiology, João Pessoa, PB, Brazil. Electronic address: murillo.frazao@gmail.com.
Paulo Eugênio SilvaClinical Physiology and Technological Innovation FICTI-CNPq, Brasília, DF, Brazil.
Lucas de Assis Pereira CacauIntervent - Infectology and Phyiotherapy, Aracaju, SE, Brazil.
Tullio Rocha PetrucciCLINAR - Exercise Physiology, João Pessoa, PB, Brazil.
Mariela Cometki AssisIntervent - Infectology and Phyiotherapy, Aracaju, SE, Brazil; Unimed, Aracaju, SE, Brazil.
Amilton da Cruz SantosLaboratory of Physical Training Studies Applied to Health, Physical Education Department, Universidade Federal da Paraíba (UFPB), João Pessoa, PB, Brazil; Associate Graduate Programme in Physical Education UPE/UFPB, PB, Brazil.
Maria do Socorro Brasileiro-SantosLaboratory of Physical Training Studies Applied to Health, Physical Education Department, Universidade Federal da Paraíba (UFPB), João Pessoa, PB, Brazil; Associate Graduate Programme in Physical Education UPE/UFPB, PB, Brazil.
Universidade Federal da Paraíba · BRHospital Universitário Lauro Wanderley · BRNational Council for Scientific and Technological Development · BRUniversidade Tiradentes · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA huge number of COVID-19 patients should be referred to rehabilitation programmes. Individualizing the exercise intensity by metabolic response provide good physiological results. The aim of this study was to investigate the validity of EMG as a non-invasive determinant of the anaerobic threshold and respiratory compensation point, for more precise exercise intensity prescription.

methodsAn observational cross-sectional study with 66 recovered COVID-19 patients was carried out. The patients underwent a cardiopulmonary exercise test with simultaneous assessment of muscle electromyography in vastus lateralis. EMG breakpoints were analyzed during the ramp-up protocol. The first and second EMG breakpoints were used for anaerobic threshold and respiratory compensation point determination.

resultsEMG and gas exchange analysis presented strong correlation in anaerobic threshold (r = 0.97, p < 0.0001) and respiratory compensation point detection (r = 0.99, p < 0.0001) detection. Bland-Altman analysis demonstrated a bias = -4.7 W (SD = 6.2 W, limits of agreement = -16.9 to 7.6) for anaerobic threshold detection in EMG compared to gas exchange analysis. In respiratory compensation point detection, Bland-Altman analysis demonstrated a bias = -2.1 W (SD = 4.5 W, limits of agreement = -10.9 to 6.6) in EMG compared to gas exchange analysis. EMG demonstrated a small effect size compared to gas exchange analysis in oxygen uptake and power output at anaerobic threshold and respiratory compensation point detection.

conclusionsEMG analysis detects anaerobic threshold and respiratory compensation point without clinical significant difference than gas exchange analysis (gold standard method) in recovered COVID-19 patients.

Indexed as

Anaerobic ThresholdCOVID-19Cross-Sectional StudiesExercise TestHumansMuscle, SkeletalOxygen ConsumptionSARS-CoV-2Anaerobic thresholdCardiopulmonary exercise testCOVID-19Electromyography

Identifiers

PMID34174508
PMCPMC8186128
OpenAlexW3166699022

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.