Evidence map›Paper›PMID 42049416›Full record

ArticleIn vivo (Athens, Greece)

Bioelectrical Impedance Analysis in the Diagnosis of Sarcopenia in Oncological Patients: The Sarco-Detect Study.

Lisa Jochem, Thore Wulff, Lea Feline Kraack, Friederike Hilpert, Friederike Stölzel, Ilka Ratjen, Anne Letsch, Thorsten Schmidt

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). 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
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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

8 authors.

Lisa JochemUniversity Cancer Centre Schleswig-Holstein, University Hospital Schleswig-Holstein, Kiel, Germany.
Thore WulffUniversity Cancer Centre Schleswig-Holstein, University Hospital Schleswig-Holstein, Kiel, Germany.
Lea Feline KraackUniversity Cancer Centre Schleswig-Holstein, University Hospital Schleswig-Holstein, Kiel, Germany.
Friederike HilpertUniversity Cancer Centre Schleswig-Holstein, University Hospital Schleswig-Holstein, Kiel, Germany.
Friederike StölzelUniversity Cancer Centre Schleswig-Holstein, University Hospital Schleswig-Holstein, Kiel, Germany.
Ilka RatjenUniversity Cancer Centre Schleswig-Holstein, University Hospital Schleswig-Holstein, Kiel, Germany.
Anne LetschUniversity Cancer Centre Schleswig-Holstein, University Hospital Schleswig-Holstein, Kiel, Germany.
Thorsten SchmidtUniversity Cancer Centre Schleswig-Holstein, University Hospital Schleswig-Holstein, Kiel, Germany; Thorsten.schmidt@kitt.fit.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThe Sarco-Detect study aim was to test the suitability of bioimpedance analysis (BIA) as a cost-efficient and practical alternative to computed tomography (CT) for diagnosing sarcopenia and to assess the agreement between CT and BIA. PATIENTS AND

methodsIn this study, the skeletal muscle cross-sectional area (SMA) was measured at the third lumbar vertebra (L3) on CT images, and the skeletal muscle index (SMI) was calculated. BIA skeletal muscle mass (SMM) and appendicular SMM (ASMM) were determined using the manufacturer's software (SMM-Seca, ASMM-Seca) and using the Sergi and Kyle equations. All calculated masses were converted to height-normalized index values and compared with the European Working Group on Sarcopenia in Older People cut-offs.

resultsA total of 70 patients were included, with mean (± standard deviation) age of 66±11 years, body mass index of 25±5 kg/m

conclusionThe results indicate limited congruence of BIA and CT in the diagnosis of sarcopenia.

Indexed as

Electric ImpedanceNeoplasmsSarcopeniaAgedBody CompositionBody Mass IndexFemaleHumansMaleMiddle AgedMuscle, SkeletalROC CurveTomography, X-Ray Computedbioelectrical impedance analysiscancermuscle diseasemuscle strengthphysical trainingSarcopenia

Identifiers

PMID42049416
PMCPMC13133825

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Registered trials

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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.