Evidence map›Paper›PMID 33922348›Full record

ReviewAnimals : an open access journal from MDPI2021

Imaging of Canine Neoplastic Reproductive Disorders.

Marco Russo, Gary C W England, Giuseppe Catone, Gabriele Marino

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
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  14. Imaging techniques in veterinary medicineEuropean journal of radiology open · 2023
    Review
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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

4 authors at 3 institutions in 2 countries.

Marco RussoDepartment of Veterinary Medicine and Animal Production, University of Naples, Federico II, 80137 Naples, Italy.ORCID 0000-0002-1219-8603
Gary C W EnglandSutton Bonington Campus, School of Veterinary Medicine and Science, University of Nottingham, Loughborough LE12 5RD, UK.
Giuseppe CatoneDepartment of Veterinary Sciences, University of Messina, 98168 Messina, Italy.
Gabriele MarinoDepartment of Veterinary Sciences, University of Messina, 98168 Messina, Italy.ORCID 0000-0001-6519-406X
University of Messina · ITUniversity of Naples Federico II · ITUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic imaging plays an essential role in the diagnosis and management of reproductive neoplasia in dogs and cats. The initial diagnosis, staging, and planning of surgical and radiation treatment and the response to therapy all involve imaging to varying degrees. Routine radiographs, ultrasound, nuclear medicine, and cross-sectional imaging in the form of computed tomography (CT) and magnetic resonance imaging (MRI) are routinely used in canine reproductive disorders. The choice of imaging modality depends on many factors, including the level of referral and the pathological information required. The biological behaviour of the tumour also guides the choice of imaging in cancer staging, and imaging may play an important role in guiding serial tumour biopsy during the course of therapy. The sophistication of imaging modalities is increasing exponentially. Each modality has advantages and disadvantages in terms of cost, availability, sensitivity, specificity, and qualities of anatomic versus functional imaging.

Indexed as

computed tomographydogmagnetic resonanceovariespenisprostateradiographytestesultrasounduterusvagina

Identifiers

PMID33922348
PMCPMC8146485
OpenAlexW3158348679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.