Evidence map›Paper›PMID 39746487›Full record

ArticleVeterinary and comparative oncology2025

Body Composition Measurements as Predictive Variables for Outcomes of Canine Appendicular Osteosarcoma Treated With Stereotactic Body Radiation Therapy.

Johnny Altwal, Lynn Griffin, Tiffany Wormhoudt Martin

Abstract read
In one paragraph

Article in Veterinary and comparative oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Johnny AltwalDepartment of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Colorado, Fort Collins, US.ORCID https://orcid.org/0000-0001-5872-099X
Lynn GriffinAdvanced Animal Cancer Imaging LLC, Victoria, British Columbia, Canada.ORCID https://orcid.org/0000-0002-0074-8233
Tiffany Wormhoudt MartinDepartment of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Colorado, Fort Collins, US.ORCID https://orcid.org/0000-0002-9258-4861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body composition measurements (BCM), obtained via computed tomography (CT), have been used as predictors of survival, tumour recurrence, and post-surgical infections in human oncology. There are no reports on using BCM to predict outcomes of dogs with cancer. Elevated BCM is hypothesised to place extra stress on bones weakened by cancer. Pathologic fracture following stereotactic body radiation therapy for canine appendicular osteosarcoma (OSA) frequently results in limb amputation or euthanasia. Additional tools are needed to better predict the risk of fracture development. Our objectives were to determine if any relationships could be identified between BCM and the occurrence of a pathologic fracture and/or survival time in dogs with naturally occurring OSA. Forty-seven dogs with a confirmed OSA and whole-body CT pre-SBRT were included. Several BCM were evaluated, including abdominal volume, visceral adipose tissue volume, whole-body volume, whole-body adipose tissue volume, normalised cross-sectional area of the epaxial muscles at the mid-body of the 13th thoracic vertebra, and attenuations of adipose tissue and epaxial muscles. No BCMs were correlated with survival time. The volume of the entire body (cm

Indexed as

Body CompositionBone NeoplasmsDog DiseasesOsteosarcomaRadiosurgeryAnimalsDogsFemaleMaleTomography, X-Ray ComputedTreatment Outcome

Identifiers

PMID39746487
PMCPMC11830457

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.