Evidence map›Paper›PMID 31919895›Full record

ArticleJournal of veterinary internal medicine2020

Clinicopathological characteristics of histiocytic sarcoma affecting the central nervous system in dogs.

Izumi Toyoda, William Vernau, Beverly K Sturges, Karen M Vernau, John Rossmeisl, Kurt Zimmerman, Chelsea M Crowe, Kevin Woolard, Michelle Giuffrida, Robert J Higgins and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 22 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

11 authors at 3 institutions in 1 country.

Izumi ToyodaVeterinary Medical Teaching Hospital, School of Veterinary Medicine, University of California-Davis, Davis, California.
William VernauDepartment of Pathology, Microbiology and Immunology, University of California Davis, School of Veterinary Medicine, Davis, California.
Beverly K SturgesDepartment of Surgical and Radiological Sciences, University of California Davis, School of Veterinary Medicine, Davis, California.
Karen M VernauDepartment of Surgical and Radiological Sciences, University of California Davis, School of Veterinary Medicine, Davis, California.
John RossmeislDepartment of Small Animal Clinical Sciences, Virginia-Maryland College of Veterinary Medicine, Blacksburg, Virginia.ORCID https://orcid.org/0000-0003-1655-7076
Kurt ZimmermanDepartment of Small Animal Clinical Sciences, Virginia-Maryland College of Veterinary Medicine, Blacksburg, Virginia.
Chelsea M CroweVeterinary Medical Teaching Hospital, School of Veterinary Medicine, University of California-Davis, Davis, California.
Kevin WoolardDepartment of Pathology, Microbiology and Immunology, University of California Davis, School of Veterinary Medicine, Davis, California.
Michelle GiuffridaDepartment of Surgical and Radiological Sciences, University of California Davis, School of Veterinary Medicine, Davis, California.
Robert J HigginsDepartment of Pathology, Microbiology and Immunology, University of California Davis, School of Veterinary Medicine, Davis, California.
Peter J DickinsonDepartment of Surgical and Radiological Sciences, University of California Davis, School of Veterinary Medicine, Davis, California.ORCID https://orcid.org/0000-0002-0037-2619
University of California, Davis · USVeterinary Medical Teaching Hospital · USVirginia–Maryland College of Veterinary Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHistiocytic sarcoma affecting the central nervous system (CNS HS) in dogs may present as primary or disseminated disease, often characterized by inflammation. Prognosis is poor, and imaging differentiation from other CNS tumors can be problematic.

objectiveTo characterize the clinicopathological inflammatory features, breed predisposition, and survival in dogs with CNS HS. ANIMALS: One hundred two dogs with HS, 62 dogs with meningioma.

methodsRetrospective case series. Records were reviewed for results of cerebrospinal fluid (CSF) analysis, CBC, treatment, and outcome data.

resultsPredisposition for CNS HS was seen in Bernese Mountain Dogs, Golden Retrievers, Rottweilers, Corgis, and Shetland Sheepdogs (P ≤ .001). Corgis and Shetland Sheepdogs had predominantly primary tumors; Rottweilers had exclusively disseminated tumors. Marked CSF inflammation was characteristic of primary rather than disseminated HS, and neoplastic cells were detected in CSF of 52% of affected dogs. Increased neutrophil to lymphocyte ratios were seen in all groups relative to controls (P <.008) but not among tumor subtypes. Definitive versus palliative treatment resulted in improved survival times (P < .001), but overall prognosis was poor. CONCLUSIONS AND CLINICAL IMPORTANCE: Clinicopathological differences between primary and disseminated HS suggest that tumor biological behavior and origin may be different. Corgis and Shetland Sheepdogs are predisposed to primary CNS HS, characterized by inflammatory CSF. High total nucleated cell count and the presence of neoplastic cells support the use of CSF analysis as a valuable diagnostic test. Prognosis for CNS HS is poor, but further evaluation of inflammatory mechanisms may provide novel therapeutic opportunities.

Indexed as

AnimalsCaliforniaCentral Nervous System NeoplasmsDog DiseasesDogsFemaleHistiocytic SarcomaMaleMeningiomaRecordsRetrospective StudiesSurvival Analysiscaninecentral nervous systemcerebrospinal fluidneoplasia

Identifiers

PMID31919895
PMCPMC7096655
OpenAlexW3000205552

What OpenQuestion holds

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LicenceCC BY
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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.