Evidence map›Paper›PMID 37174067›Full record

ArticleCancers2023

Whole-Body Composition Features by Computed Tomography in Ovarian Cancer: Pilot Data on Survival Correlations.

Giorgio Raia, Maria Del Grande, Ilaria Colombo, Marta Nerone, Lucia Manganaro, Maria Luisa Gasparri, Andrea Papadia, Filippo Del Grande, Stefania Rizzo

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Giorgio RaiaIstituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale, 6900 Lugano, Switzerland.ORCID 0000-0001-8917-5410
Maria Del GrandeService of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), 6500 Bellinzona, Switzerland.ORCID 0000-0002-5913-6901
Ilaria ColomboService of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), 6500 Bellinzona, Switzerland.ORCID 0000-0002-0602-8667
Marta NeroneService of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), 6500 Bellinzona, Switzerland.
Lucia ManganaroDepartment of Radiological, Oncological and Pathological Sciences, University of Rome Sapienza (IT), 00185 Roma, Italy.ORCID 0000-0001-9037-9904
Maria Luisa GasparriDepartment of Gynecology and Obstetrics, Ente Ospedaliero Cantonale of Lugano (EOC), 6900 Lugano, Switzerland.
Andrea PapadiaDepartment of Gynecology and Obstetrics, Ente Ospedaliero Cantonale of Lugano (EOC), 6900 Lugano, Switzerland.
Filippo Del GrandeIstituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale, 6900 Lugano, Switzerland.ORCID 0000-0003-1106-5830
Stefania RizzoIstituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale, 6900 Lugano, Switzerland.ORCID 0000-0002-5151-0866
Ente Ospedaliero Cantonale · CHSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe primary objective of this study was to assess the associations of computed tomography (CT)-based whole-body composition values with overall survival (OS) and progression-free survival (PFS) in epithelial ovarian cancer (EOC) patients. The secondary objective was the association of body composition with chemotherapy-related toxicity.

methodsThirty-four patients (median age 64.9 years; interquartile range 55.4-75.4) with EOC and thorax and abdomen CT scans were included. Clinical data recorded: age; weight; height; stage; chemotherapy-related toxicity; and date of last contact, progression and death. Automatic extraction of body composition values was performed by dedicated software. Sarcopenia was defined according to predefined cutoffs. Statistical analysis included univariate tests to investigate associations of sarcopenia and body composition with chemotoxicity. Association of body composition parameters and OS/PFS was evaluated by log-rank test and Cox proportional hazard model. Multivariate models were adjusted for FIGO stage and/or age at diagnosis.

resultsWe found significant associations of skeletal muscle volume with OS (

conclusionsIn this exploratory study, we found significant associations of whole-body composition parameters with OS and PFS. These results open a window to the possibility to perform body composition profiling without approximate estimations.

Indexed as

adipose tissuebody compositionbonecalciummuscleovarian cancer

Identifiers

PMID37174067
PMCPMC10177066
OpenAlexW4368367513

What OpenQuestion holds

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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.