Evidence map›Paper›PMID 38001651›Full record

ArticleCancers2023

Abdominal Visceral-to-Subcutaneous Fat Volume Ratio Predicts Survival and Response to First-Line Palliative Chemotherapy in Patients with Advanced Gastric Cancer.

Giacomo Aringhieri, Gianfranco Di Salle, Silvia Catanese, Caterina Vivaldi, Francesca Salani, Saverio Vitali, Miriam Caccese, Enrico Vasile, Virginia Genovesi, Lorenzo Fornaro and 6 more

Abstract 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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Giacomo AringhieriAcademic Radiology, Department of Translational Research, University of Pisa, Via Roma 67, 56126 Pisa, Italy.ORCID 0000-0003-0842-5372
Gianfranco Di SalleAcademic Radiology, Department of Translational Research, University of Pisa, Via Roma 67, 56126 Pisa, Italy.
Silvia CataneseDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
Caterina VivaldiDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
Francesca SalaniUnit of Medical Oncology, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56126 Pisa, Italy.ORCID 0000-0001-7749-8634
Saverio VitaliDiagnostic and Interventional Radiology, University Hospital of Cisanello, Azienda Ospedaliero-Universitaria Pisana, 56126 Pisa, Italy.
Miriam CacceseUnit of Medical Oncology, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56126 Pisa, Italy.
Enrico VasileUnit of Medical Oncology, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56126 Pisa, Italy.
Virginia GenovesiUnit of Medical Oncology, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56126 Pisa, Italy.ORCID 0000-0002-8812-8409
Lorenzo FornaroUnit of Medical Oncology, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56126 Pisa, Italy.
Rachele TintoriAcademic Radiology, Department of Translational Research, University of Pisa, Via Roma 67, 56126 Pisa, Italy.
Francesco BalducciDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
Carla CappelliUnit of Medical Oncology, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56126 Pisa, Italy.
Dania CioniAcademic Radiology, Department of Translational Research, University of Pisa, Via Roma 67, 56126 Pisa, Italy.ORCID 0000-0002-5120-886X
Gianluca MasiDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-8329-8989
Emanuele NeriAcademic Radiology, Department of Translational Research, University of Pisa, Via Roma 67, 56126 Pisa, Italy.ORCID 0000-0001-7950-4559

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prognosis in advanced gastric cancer (aGC) is predicted by clinical factors, such as stage, performance status, metastasis location, and the neutrophil-to-lymphocyte ratio. However, the role of body composition and sarcopenia in aGC survival remains debated. This study aimed to evaluate how abdominal visceral and subcutaneous fat volumes, psoas muscle volume, and the visceral-to-subcutaneous (VF/SF) volume ratio impact overall survival (OS) and progression-free survival (PFS) in aGC patients receiving first-line palliative chemotherapy. We retrospectively examined CT scans of 65 aGC patients, quantifying body composition parameters (BCPs) in 2D and 3D. Normalized 3D BCP volumes were determined, and the VF/SF ratio was computed. Survival outcomes were analyzed using the Cox Proportional Hazard model between the upper and lower halves of the distribution. Additionally, response to first-line chemotherapy was compared using the χ

Indexed as

body compositiondisease-free survivalsarcopeniastomach neoplasmstomographyX-ray computed

Identifiers

PMID38001651
PMCPMC10670010

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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.