Evidence map›Paper›PMID 26457674›Full record

ArticlePloS one2015

Skeletal Muscle Depletion and Markers for Cancer Cachexia Are Strong Prognostic Factors in Epithelial Ovarian Cancer.

Stefanie Aust, Thomas Knogler, Dietmar Pils, Eva Obermayr, Alexander Reinthaller, Lisa Zahn, Ilja Radlgruber, Marius Erik Mayerhoefer, Christoph Grimm, Stephan Polterauer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 pooled it
5.3field-weighted citation impact, top 4% 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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 114 citations in OpenAlex.

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  4. Effect of exercise on body composition among women with ovarian cancer.Journal of cancer survivorship : research and practice · 2023
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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

10 authors at 2 institutions in 1 country.

Stefanie AustDepartment of Gynaecology and Gynaecological Oncology, Gynecologic Cancer Unit, Comprehensive Cancer Center, Medical University of Vienna, Vienna, 1090, Austria.
Thomas KnoglerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 1090, Austria.
Dietmar PilsDepartment of Gynaecology and Gynaecological Oncology, Gynecologic Cancer Unit, Comprehensive Cancer Center, Medical University of Vienna, Vienna, 1090, Austria.
Eva ObermayrDepartment of Gynaecology and Gynaecological Oncology, Gynecologic Cancer Unit, Comprehensive Cancer Center, Medical University of Vienna, Vienna, 1090, Austria.
Alexander ReinthallerDepartment of Gynaecology and Gynaecological Oncology, Gynecologic Cancer Unit, Comprehensive Cancer Center, Medical University of Vienna, Vienna, 1090, Austria.
Lisa ZahnDepartment of Gynaecology and Gynaecological Oncology, Gynecologic Cancer Unit, Comprehensive Cancer Center, Medical University of Vienna, Vienna, 1090, Austria.
Ilja RadlgruberDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 1090, Austria.
Marius Erik MayerhoeferDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 1090, Austria.
Christoph GrimmDepartment of Gynaecology and Gynaecological Oncology, Gynecologic Cancer Unit, Comprehensive Cancer Center, Medical University of Vienna, Vienna, 1090, Austria.
Stephan PolterauerDepartment of Gynaecology and Gynaecological Oncology, Gynecologic Cancer Unit, Comprehensive Cancer Center, Medical University of Vienna, Vienna, 1090, Austria.
Medical University of Vienna · ATComprehensive Cancer Center Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTumor cachexia is an important prognostic parameter in epithelial ovarian cancer (EOC). Tumor cachexia is characterized by metabolic and inflammatory disturbances. These conditions might be reflected by body composition measurements (BCMs) ascertained by pre-operative computed tomography (CT). Thus, we aimed to identify the prognostically most relevant BCMs assessed by pre-operative CT in EOC patients.

methodsWe evaluated muscle BCMs and well established markers of nutritional and inflammatory status, as well as clinical-pathological parameters in 140 consecutive patients with EOC. Furthermore, a multiplexed inflammatory marker panel of 25 cytokines was used to determine the relationship of BCMs with inflammatory markers and patient's outcome. All relevant parameters were evaluated in uni- and multivariate survival analysis.

resultsMuscle attenuation (MA)-a well established BCM parameter-is an independent prognostic factor for survival in multivariate analysis (HR 2.25; p = 0.028). Low MA-reflecting a state of cachexia-is also associated with residual tumor after cytoreductive surgery (p = 0.046) and with an unfavorable performance status (p = 0.015). Moreover, MA is associated with Eotaxin and IL-10 out of the 25 cytokine multiplex marker panel in multivariate linear regression analysis (p = 0.021 and p = 0.047, respectively).

conclusionMA-ascertained by routine pre-operative CT-is an independent prognostic parameter in EOC patients. Low MA is associated with the inflammatory, as well as the nutritional component of cachexia. Therefore, the clinical value of pre-operative CT could be enhanced by the assessment of MA.

Indexed as

AgedBiomarkers, TumorBody CompositionCachexiaCarcinoma, Ovarian EpithelialCytokinesFemaleHumansMiddle AgedMuscle, SkeletalNeoplasms, Glandular and EpithelialOvarian NeoplasmsPrognosisRadiographyBiomarkers, TumorCytokines

Identifiers

PMID26457674
PMCPMC4601693
OpenAlexW1913776872

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.