Evidence map›Paper›PMID 38166968›Full record

ReviewCritical care (London, England)2024

Analysis and applications of respiratory surface EMG: report of a round table meeting.

A H Jonkman, R S P Warnaar, W Baccinelli, N M Carbon, R F D'Cruz, J Doorduin, J L M van Doorn, J Elshof, L Estrada-Petrocelli, J Graßhoff and 14 more

Open access · goldAbstract readReview
In one paragraph

Review in Critical care (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
11.8field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. An overview of patient-ventilator asynchrony in children.Expert review of respiratory medicine · 2025
    Review
  17. Article
  18. Review
  19. Emerging Wearable Acoustic Sensing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  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

24 authors at 17 institutions in 9 countries.

A H JonkmanDepartment of Intensive Care Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
R S P WarnaarCardiovascular and Respiratory Physiology, TechMed Centre, University of Twente, Enschede, The Netherlands.
W BaccinelliNetherlands eScience Center, Amsterdam, The Netherlands.
N M CarbonDepartment of Anesthesiology, Friedrich Alexander-Universität Erlangen-Nürnberg, Uniklinikum Erlangen, Erlangen, Germany.
R F D'CruzLane Fox Clinical Respiratory Physiology Research Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK.
J DoorduinDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
J L M van DoornDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
J ElshofDepartment of Pulmonary Diseases/Home Mechanical Ventilation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
L Estrada-PetrocelliFacultad de Ingeniería and Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT) - Sistema Nacional de Investigación (SNI), Universidad Latina de Panamá (ULATINA), Panama, Panama.
J GraßhoffFraunhofer Research Institution for Individualized and Cell-Based Medical Engineering, Lübeck, Germany.
L M A HeunksDepartment of Intensive Care, Radboud University Medical Center, Nijmegen, The Netherlands.
A A KoopmanDivision of Paediatric Critical Care Medicine, Department of Paediatrics, Beatrix Children's Hospital, University Medical Center Groningen, Groningen, The Netherlands.
D LangerResearch Group for Rehabilitation in Internal Disorders, Department of Rehabilitation Sciences, KU Leuven, 3000, Leuven, Belgium.
C M MooreNetherlands eScience Center, Amsterdam, The Netherlands.
J M Nunez SilveiraHospital Italiano de Buenos Aires, Unidad de Terapia Intensiva, Ciudad de Buenos Aires, Argentina.
E PetersenTechnical University of Denmark (DTU), DTU Compute, 2800, Kgs. Lyngby, Denmark.
D PoddigheResearch Group for Rehabilitation in Internal Disorders, Department of Rehabilitation Sciences, KU Leuven, 3000, Leuven, Belgium.
M RamsayLane Fox Clinical Respiratory Physiology Research Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK.
A RodriguesKeenan Centre for Biomedical Research, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.
L H RoesthuisDepartment of Intensive Care, Radboud University Medical Center, Nijmegen, The Netherlands.
A RosselDepartment of Acute Medicine, Geneva University Hospitals, Geneva, Switzerland.
A TorresInstitut de Bioenginyeria de Catalunya (IBEC), Barcelona Institute of Science and Technology (BIST) and Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Universitat Politècnica de Catalunya BarcelonaTech (UPC), Barcelona, Spain.
M L DuivermanDepartment of Pulmonary Diseases/Home Mechanical Ventilation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
E OppersmaCardiovascular and Respiratory Physiology, TechMed Centre, University of Twente, Enschede, The Netherlands. e.oppersma@utwente.nl.
Radboud University Medical Center · NLGuy's and St Thomas' NHS Foundation Trust · GBKU Leuven · BENetherlands eScience Center · NLUniversity Medical Center Groningen · NLUniversity of Twente · NLErasmus MC · NLFraunhofer Research Institution for Individualized and Cell-Based Medical Engineering · DEHospital Italiano de Buenos Aires · ARRadboud University Nijmegen · NLSecretaría Nacional de Ciencia, Tecnología e Innovación · PATechnical University of Denmark · DKUnity Health TorontoUniversitat Politècnica de Catalunya · ESUniversitätsklinikum Erlangen · DEUniversity Hospital of Geneva · CHUniversity of Groningen · NL

Funding

the Netherlands eScience Center NLESC.OEC.2021.010
6 · The paper itself

Abstract

Surface electromyography (sEMG) can be used to measure the electrical activity of the respiratory muscles. The possible applications of sEMG span from patients suffering from acute respiratory failure to patients receiving chronic home mechanical ventilation, to evaluate muscle function, titrate ventilatory support and guide treatment. However, sEMG is mainly used as a monitoring tool for research and its use in clinical practice is still limited-in part due to a lack of standardization and transparent reporting. During this round table meeting, recommendations on data acquisition, processing, interpretation, and potential clinical applications of respiratory sEMG were discussed. This paper informs the clinical researcher interested in respiratory muscle monitoring about the current state of the art on sEMG, knowledge gaps and potential future applications for patients with respiratory failure.

Indexed as

Muscle, SkeletalRespiratory MusclesElectromyographyHumans

Identifiers

PMID38166968
PMCPMC10759550
OpenAlexW4390508062

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.