Evidence map›Paper›PMID 30308086›Full record

ArticleJournal of veterinary internal medicine2018

Comparative evaluation of a novel, moderately hypofractionated radiation protocol in 56 dogs with symptomatic intracranial neoplasia.

Philip Schwarz, Valeria Meier, Alena Soukup, Randi Drees, Jürgen Besserer, Katrin Beckmann, Malgorzata Roos, Carla Rohrer Bley

Open access · goldAbstract readClinical Trial, VeterinaryComparative Study
In one paragraph

Article in Journal of veterinary internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Adapting Laser Interstitial Thermal Therapy for the Treatment of Naturally Occurring Intracranial Tumors in Dogs.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  5. Article
  6. Article
  7. Common Neurologic Diseases in Geriatric Dogs.Animals : an open access journal from MDPI · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Using biologically based objectives to optimize boost intensity-modulated radiation therapy planning for brainstem tumors in dogs.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2020
    Article
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 3 countries.

Philip SchwarzDivision of Radiation Oncology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.
Valeria MeierDivision of Radiation Oncology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-0793-9005
Alena SoukupDivision of Radiation Oncology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.
Randi DreesQMHA Diagnostic Imaging, The Royal Veterinary College, Hertfordshire, United Kingdom.
Jürgen BessererDivision of Radiation Oncology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.
Katrin BeckmannSection of Small Animal Surgery/Neurology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.
Malgorzata RoosDepartment of Biostatistics, Epidemiology Biostatistics and Prevention Institute, Faculty of Medicine, University of Zurich, Zurich, Switzerland.
Carla Rohrer BleyDivision of Radiation Oncology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-5733-2722
University of Zurich · CHRoyal Veterinary College · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUse of strongly hypofractionated radiation treatments in dogs with intracranial neoplasia did not improve outcomes and yielded increased rates of toxicosis.

objectivesTo evaluate safety and efficacy of a new, moderately hypofractionated radiation protocol of 10 × 4 Gy compared to a standard protocol. ANIMALS: Convenience sample of 56 client-owned dogs with primary symptomatic brain tumors.

methodsRetrospective observational study. Twenty-six dogs were assigned to the control standard protocol of 20 × 2.5 Gy (group A) and 30 dogs to the new protocol of 10 × 4 Gy (group B), assigned on owners' informed consent. Statistical analysis was conducted under the "as treated" regime, using Kaplan-Meier and Cox-regression analysis. Treatment was delivered with technically advanced image-guided radiation therapy. The 2 treatment groups were compared in terms of outcome and signs of toxicosis.

resultsOverall progression-free interval (PFI) and overall survival (OS) time were favorable, with 663 (95%CI: 497;828) and 637 (95%CI: 403;870) days, respectively. We found no significant difference between the two groups: PFI for dogs in group A vs B was 608 (95%CI: 437;779) days and mean (median not reached) 863 (95%CI: 644;1083) days, respectively (P = .89), and OS for dogs in group A vs B 610 (95%CI: 404;816) and mean (median not reached) 796 (95%CI: 586;1007) days (P = .83). CONCLUSION AND CLINICAL IMPORTANCE: In conclusion, 10 × 4 Gy is a safe and efficient protocol for treatment of primary intracranial neoplasia and future dose escalation can be considered.

Indexed as

AnimalsBrain NeoplasmsDog DiseasesDogsFemaleMaleMeningiomaProgression-Free SurvivalRadiation Dose HypofractionationTreatment Outcomebrain tumordogfractionationneurologic signsradiation therapyrisk

Identifiers

PMID30308086
PMCPMC6272041
OpenAlexW2895844622

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.