Evidence map›Paper›PMID 38582934›Full record

ArticleCritical care (London, England)2024

Effects of robotic-assisted early mobilization versus conventional mobilization in intensive care unit patients: prospective interventional cohort study with retrospective control group analysis.

Lucas Huebner, Angelika Warmbein, Christina Scharf, Ines Schroeder, Kirsi Manz, Ivanka Rathgeber, Marcus Gutmann, Johanna Biebl, Amrei Mehler-Klamt, Jana Huber and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in Critical care (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05071248 (Evaluation of the Effect of Robot-assisted Early Mobilization on Critically Ill Patients, on the Mobilisation Behaviour and Experience of Mobilizing Professionals and Organisational Processes in an Intensive Care Unit), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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.

NCT05071248 nacompletednot on this map

Evaluation of the Effect of Robot-assisted Early Mobilization on Critically Ill Patients, on the Mobilisation Behaviour and Experience of Mobilizing Professionals and Organisational Processes in an Intensive Care Unit

TypeinterventionalSponsorLudwig-Maximilians - University of MunichRan2021 to 2022Enrolled23ConditionsPatient Activation, Mobilization, RoboticsArmsVEMO (Reactive Robotics GmbH)
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Observational
  5. Application of Artificial Intelligence in Physical Rehabilitation of Patients Admitted to the Intensive Care Unit: A Scoping Review.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. 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

14 authors.

Lucas HuebnerDepartment of Anaesthesiology, LMU University Hospital, LMU Munich, Munich, Germany. Lucas.Huebner@med.uni-muenchen.de.
Angelika WarmbeinClinical Nursing Research and Quality Management Unit, LMU University Hospital, LMU Munich, Munich, Germany.
Christina ScharfDepartment of Anaesthesiology, LMU University Hospital, LMU Munich, Munich, Germany.
Ines SchroederDepartment of Anaesthesiology, LMU University Hospital, LMU Munich, Munich, Germany.
Kirsi ManzInstitute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany.
Ivanka RathgeberClinical Nursing Research and Quality Management Unit, LMU University Hospital, LMU Munich, Munich, Germany.
Marcus GutmannDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU University Hospital, LMU Munich, Munich, Germany.
Johanna BieblDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU University Hospital, LMU Munich, Munich, Germany.
Amrei Mehler-KlamtProfessorship for Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany.
Jana HuberProfessorship for Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany.
Inge EberlProfessorship for Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany.
Eduard KraftDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU University Hospital, LMU Munich, Munich, Germany.
Uli Fischer *Clinical Nursing Research and Quality Management Unit, LMU University Hospital, LMU Munich, Munich, Germany.
Michael Zoller *Department of Anaesthesiology, LMU University Hospital, LMU Munich, Munich, Germany.

Funding

Bundesministerium für Bildung und Forschung 16SV8420
6 · The paper itself

Abstract

backgroundApproximately one in three survivors of critical illness suffers from intensive-care-unit-acquired weakness, which increases mortality and impairs quality of life. By counteracting immobilization, a known risk factor, active mobilization may mitigate its negative effects on patients. In this single-center trial, the effect of robotic-assisted early mobilization in the intensive care unit (ICU) on patients' outcomes was investigated.

methodsWe enrolled 16 adults scheduled for lung transplantation to receive 20 min of robotic-assisted mobilization and verticalization twice daily during their first week in the ICU (intervention group: IG). A control group (CG) of 13 conventionally mobilized patients after lung transplantation was recruited retrospectively. Outcome measures included the duration of mechanical ventilation, length of ICU stay, muscle parameters evaluated by ultrasound, and quality of life after three months.

resultsDuring the first week in the ICU, the intervention group received a median of 6 (interquartile range 3-8) robotic-assisted sessions of early mobilization and verticalization. There were no statistically significant differences in the duration of mechanical ventilation (IG: median 126 vs. CG: 78 h), length of ICU stay, muscle parameters evaluated by ultrasound, and quality of life after three months between the IG and CG.

conclusionIn this study, robotic-assisted mobilization was successfully implemented in the ICU setting. No significant differences in patients' outcomes were observed between conventional and robotic-assisted mobilization. However, randomized and larger studies are necessary to validate the adequacy of robotic mobilization in other cohorts.

trial registrationThis single-center interventional trial was registered in clinicaltrials.gov as NCT05071248 on 27/08/2021.

Indexed as

Early AmbulationRobotic Surgical ProceduresAdultCohort StudiesControl GroupsCritical IllnessHumansIntensive Care UnitsProspective StudiesQuality of LifeRespiration, ArtificialRetrospective StudiesCritical careEarly mobilizationICU-acquired weaknessIntensive careRobotics

Identifiers

PMID38582934
PMCPMC10999075

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Registered trials

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.