Evidence map›Paper›PMID 40217461›Full record

ArticleBMC cancer2025

The impact of CT-based adipose tissue distribution and sarcopenia on treatment outcomes in patients with high-risk soft tissue sarcoma.

Luc M Berclaz, Dorit Di Gioia, Michael Völkl, Vindi Jurinovic, Alexander Klein, Hans Roland Dürr, Thomas Knösel, Bianca Teodorescu, Stefan Enßle, Michaela Rippl and 4 more

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In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Luc M BerclazDepartment of Internal Medicine III, University Hospital, LMU Munich, Munich, Germany. Luc.Berclaz@med.uni-muenchen.de.
Dorit Di GioiaDepartment of Internal Medicine III, University Hospital, LMU Munich, Munich, Germany.
Michael VölklDepartment of Internal Medicine III, University Hospital, LMU Munich, Munich, Germany.
Vindi JurinovicInstitute for Medical Information Processing, Biometry, and Epidemiology, University Hospital, LMU Munich, Munich, Germany.
Alexander KleinOrthopaedic Oncology, Department of Orthopedics and Trauma Surgery, University Hospital, LMU Munich, Munich, Germany.
Hans Roland DürrOrthopaedic Oncology, Department of Orthopedics and Trauma Surgery, University Hospital, LMU Munich, Munich, Germany.
Thomas KnöselInstitute of Pathology, LMU Munich, Munich, Germany.
Bianca TeodorescuDepartment of Internal Medicine II, University Hospital, LMU Munich, Munich, Germany.
Stefan EnßleDepartment of Internal Medicine II, University Hospital, LMU Munich, Munich, Germany.
Michaela RipplDepartment of Internal Medicine IV, University Hospital, LMU Munich, Munich, Germany.
Michael von Bergwelt-BaildonDepartment of Internal Medicine III, University Hospital, LMU Munich, Munich, Germany.
Wolfgang G KunzDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
Lars H LindnerDepartment of Internal Medicine III, University Hospital, LMU Munich, Munich, Germany.
Anton Burkhard-MeierDepartment of Internal Medicine III, University Hospital, LMU Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognostic and predictive value of obesity and sarcopenia remains poorly defined in patients with high-risk soft tissue sarcoma (HR-STS). We sought to correlate clinical outcomes with CT-based body composition parameters in patients with HR-STS undergoing a multimodal preoperative therapy. The impact of radiologic and histopathologic response to preoperative treatment was correlated with individual fat and muscle distribution.

methodsPatients with locally advanced non-abdominal HR-STS and treatment with preoperative chemotherapy + regional hyperthermia (RHT) +/- radiotherapy (RT) followed by surgery between 2015 and 2022 were retrospectively evaluated. Body composition parameters measured on baseline CT scans were correlated with clinical outcomes including event-free survival (EFS) and overall survival (OS) as well as radiologic and histopathologic treatment response.

resultsA total of 85 patients were included. Body composition parameters showed no significant correlation with radiologic or histopathologic treatment response. High total fat indices such as the total fat index (TFI, HR 3.56, p = 0.005) and high total fat to muscle ratio (FMR, HR 3.22, p = 0.020) were strongly associated with poor OS. Parameters for sarcopenia including skeletal muscle index (SMI) were not significantly linked to survival outcomes.

conclusionHigh fat indices and a high FMR are strong predictors of poor OS in patients with HR-STS. Larger studies are warranted to further clarify the prognostic impact of sarcopenia and the predictive value of body composition parameters on preoperative treatment response.

Indexed as

Adipose TissueSarcomaSarcopeniaTomography, X-Ray ComputedAdultAgedBody CompositionCombined Modality TherapyFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesTreatment OutcomeYoung AdultChemotherapyEORTC-STBSGFat to muscle ratioRECISTRegional hyperthermiaSkeletal muscle indexSoft tissue sarcomaTotal fat index

Identifiers

PMID40217461
PMCPMC11992814

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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.