Evidence map›Paper›PMID 39189415›Full record

ArticleJournal of cachexia, sarcopenia and muscle2024

Detection of cancer-associated cachexia in lung cancer patients using whole-body [

Daria Ferrara, Elisabetta M Abenavoli, Thomas Beyer, Stefan Gruenert, Marcus Hacker, Swen Hesse, Lukas Hofmann, Smilla Pusitz, Michael Rullmann, Osama Sabri and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Pre-therapeutic prediction of cachexia in lymphoma patients using [European journal of clinical nutrition · 2026
    Article
  4. A network analysis of whole-body [European journal of nuclear medicine and molecular imaging · 2026
    Article
  5. Sharing a whole-/total-body [Scientific data · 2026
    Article
  6. Explainable AI in nuclear medicine.European journal of nuclear medicine and molecular imaging · 2026
    Article
  7. Article
  8. Whole-Body [Scientific data · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

16 authors.

Daria FerraraQIMP Team, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-8711-8081
Elisabetta M AbenavoliDivision of Nuclear Medicine, Azienda Ospedaliero Universitaria Careggi, Florence, Italy.
Thomas BeyerQIMP Team, Medical University of Vienna, Vienna, Austria.
Stefan GruenertDivision of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
Marcus HackerDivision of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
Swen HesseDepartment of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany.
Lukas HofmannDepartment of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany.
Smilla PusitzDivision of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
Michael RullmannDepartment of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany.
Osama SabriDepartment of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany.
Roberto SciagràDivision of Nuclear Medicine, Azienda Ospedaliero Universitaria Careggi, Florence, Italy.
Lalith Kumar Shiyam SundarQIMP Team, Medical University of Vienna, Vienna, Austria.
Anke TönjesDepartment of Endocrinology, University Hospital Leipzig, Leipzig, Germany.
Hubert WirtzDepartment of Respiratory Medicine, University Hospital Leipzig, Leipzig, Germany.
Josef YuQIMP Team, Medical University of Vienna, Vienna, Austria.
Armin FrilleDepartment of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany.ORCID 0000-0003-2843-3863

Funding

Austrian Science FundEuropean Commission Research Directorate-General 779282Federal Ministry of Education and Research (BMBF), Germany FKZ 01EO1501Innovation Fund DenmarkMedical Faculty, University of Leipzig 934100-012Mitteldeutsche Gesellschaft für Pneumologie (MDGP) e.V. 2018-MDGP-PA-002Novartis FoundationRegione ToscanaSaxon State Ministry for Science, Culture and Tourism (Germany)
6 · The paper itself

Abstract

backgroundCancer-associated cachexia (CAC) is a metabolic syndrome contributing to therapy resistance and mortality in lung cancer patients (LCP). CAC is typically defined using clinical non-imaging criteria. Given the metabolic underpinnings of CAC and the ability of [

methodsThis multi-centre study included 345 LCP who underwent WB [

resultsThe three CAC categories displayed multi-organ differences in <SUV

conclusionsWB [

Indexed as

CachexiaFluorodeoxyglucose F18Lung NeoplasmsPositron Emission Tomography Computed TomographyAgedFemaleHumansMaleMiddle AgedWhole Body ImagingFluorodeoxyglucose F18[18F]Fluoro‐2‐deoxy‐D‐glucoseCachexiaLung cancerMetabolismPET/CT

Identifiers

PMID39189415
PMCPMC11634466

What OpenQuestion holds

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LicenceCC BY
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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.