Evidence map›Paper›PMID 36692582›Full record

ReviewMedizinische Klinik, Intensivmedizin und Notfallmedizin2023

[Routine computed tomography body composition analysis-experience in intensive care patients].

Geraldine de Heer, Jennifer Erley, Marius Kemper, Alexandru Ogica, Theresa Weber, Isabel Molwitz

Open access · bronzeAbstract readEnglish AbstractReview
In one paragraph

Review in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 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, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

6 authors at 3 institutions in 1 country.

Geraldine de HeerKlinik für Intensivmedizin, Zentrum für Anästhesie und Intensivmedizin, Universitätsklinikum Hamburg Eppendorf, Hamburg, Deutschland. deheer@uke.de.
Jennifer ErleyKlinik und Poliklinik für Diagnostische und Interventionelle Radiologie und Nuklearmedizin, Universitätsklinikum Hamburg Eppendorf, Hamburg, Deutschland.
Marius KemperKlinik und Poliklinik für Allgemein‑, Viszeral- und Thoraxchirurgie, Universitätsklinikum Hamburg Eppendorf, Hamburg, Deutschland.
Alexandru OgicaTCC GmbH, Hamburg, Deutschland.
Theresa WeberKlinik für Intensivmedizin, Zentrum für Anästhesie und Intensivmedizin, Universitätsklinikum Hamburg Eppendorf, Hamburg, Deutschland.
Isabel MolwitzKlinik und Poliklinik für Diagnostische und Interventionelle Radiologie und Nuklearmedizin, Universitätsklinikum Hamburg Eppendorf, Hamburg, Deutschland.
University Medical Center Hamburg-Eppendorf · DEEppendorf (Germany) · DEKlinik und Poliklinik für Nuklearmedizin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assessment of the nutritional status of patients in the intensive care unit is recommended in current guidelines and should include the assessment of muscle status. A suitable method is the analysis of routine computed tomography (CT) scans, which are frequently performed in critically ill patients. With the help of special software, individual CT slices are processed and various parameters such as muscle area, muscle density or even the percentage of adipose tissue are displayed and quantified. It has been shown that cross-sectional acquisition of skeletal muscle in the lumbar spine correlates very well with total body muscle. There are defined, albeit population-based, cut-off values that can be used to establish diagnosis of sarcopenia. Monitoring of individualized nutritional therapy can be accomplished by assessment of repetitive CT examinations. The steadily growing body of data confirms that the method can make a valuable contribution to the assessment of body composition in intensive care medicine. Most of the currently available software requires time-consuming processing of the CT. Automated programs, which are now occasionally available and eliminate the need for most manual processing, may make the method even more attractive in the future. Ultimately, the risk of intensive transport to the CT or radiation exposure may be only justified for medical indications. Nevertheless, whenever CT is available for medical reasons, it should also be exploited for composition analysis.

Indexed as

Body CompositionCritical CareCross-Sectional StudiesHumansIntensive Care UnitsTomographyDiagnostic imagingMalnutritionNutritional statusNutrition therapySarcopenia

Identifiers

PMID36692582
PMCPMC9874172
OpenAlexW4317871268

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.