Evidence map›Paper›PMID 36846543›Full record

ArticleProcare : das forbildungsmagazin fur pflegeberufe2023

[Robotic-assisted mobilization for an effective mobilization in a COVID-19 patient with ECMO treatment].

Frank Dieterich, Jan Perras, Wolfram Popp, Marlena Ahrens, Steffen Wirth

Abstract readEnglish Abstract
In one paragraph

Article in Procare : das forbildungsmagazin fur pflegeberufe, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Frank DieterichAbteilung fur Anästhesie, Intensiv- und Schmerzmedizin, BG Unfallklinik Murnau, Prof.-Kuntscher-Str. 8, D - 82418 Murnau, Deutschland.
Jan PerrasAbteilung fur Anästhesie, Intensiv- und Schmerzmedizin, BG Unfallklinik Murnau, Prof.-Kuntscher-Str. 8, D - 82418 Murnau, Deutschland.
Wolfram PoppAbteilung fur Anästhesie, Intensiv- und Schmerzmedizin, BG Unfallklinik Murnau, Prof.-Kuntscher-Str. 8, D - 82418 Murnau, Deutschland.
Marlena AhrensAbteilung fur Anästhesie, Intensiv- und Schmerzmedizin, BG Unfallklinik Murnau, Prof.-Kuntscher-Str. 8, D - 82418 Murnau, Deutschland.
Steffen WirthAbteilung fur Anästhesie, Intensiv- und Schmerzmedizin, BG Unfallklinik Murnau, Prof.-Kuntscher-Str. 8, D - 82418 Murnau, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An effective (early) mobilization in COVID-19 intensive care patients with ECMO treatment is very important. Sedation, extracorporeal procedures with the danger of circuit malfunction, large lumen ECMO cannulas with a risk of dislocation and a very severe neuromuscular weakness are factors that could deem mobilization beyond stage 1 of the ICU mobility score (IMS) in some cases difficult or impossible; however, early mobilization is a key point of the ABCDEF bundle to counteract pulmonary complications, neuromuscular dysfunction and enable recovery. The case of a 53-year-old, previously healthy and active male patient with a severe and complicated course of COVID-19 and pronounced ICU-acquired weakness is described. While receiving ECMO the patient could be mobilized using a robotic system. Due to severe and rapidly progressing pulmonary fibrosis, additional low-dose methylprednisolone therapy (Meduri protocol) was implemented. Under this multimodal treatment the patient was successfully weaned from the ventilator and decannulated. Robotic assisted mobilization has the potential to be a novel and safe therapeutic option for a customized and highly effective mobilization in ECMO patients.

Indexed as

COVID-19Early mobilizationECMOICUAWRobotic-assisted mobilization

Identifiers

PMID36846543
PMCPMC9940073

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.