Evidence map›Paper›PMID 28659149›Full record

ArticleBMC veterinary research2017

Estimating canine cancer incidence: findings from a population-based tumour registry in northwestern Italy.

Elisa Baioni, Eugenio Scanziani, Maria Claudia Vincenti, Mauro Leschiera, Elena Bozzetta, Marzia Pezzolato, Rosanna Desiato, Silvia Bertolini, Cristiana Maurella, Giuseppe Ru

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

59 citing papers in PubMed, 135 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

10 authors at 3 institutions in 1 country.

Elisa BaioniBiostatistics, Epidemiology and Risk Analysis Unit, Istituto Zooprofillattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, 10154, Torino, Italy. elisa.baioni@izsto.it.ORCID http://orcid.org/0000-0003-3213-0638
Eugenio ScanzianiDepartment of Veterinary Science and Veterinary Public Health, Università degli Studi di Milano, Milan, Italy.
Maria Claudia VincentiAzienda Sanitaria Locale Valle d'Aosta, Aosta, Italy.
Mauro LeschieraAzienda Sanitaria Locale TO4, Ivrea, Turin, Italy.
Elena BozzettaHistopathology Unit, Istituto Zooprofillattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Torino, Italy.
Marzia PezzolatoHistopathology Unit, Istituto Zooprofillattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Torino, Italy.
Rosanna DesiatoBiostatistics, Epidemiology and Risk Analysis Unit, Istituto Zooprofillattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, 10154, Torino, Italy.
Silvia BertoliniBiostatistics, Epidemiology and Risk Analysis Unit, Istituto Zooprofillattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, 10154, Torino, Italy.
Cristiana MaurellaBiostatistics, Epidemiology and Risk Analysis Unit, Istituto Zooprofillattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, 10154, Torino, Italy.
Giuseppe RuBiostatistics, Epidemiology and Risk Analysis Unit, Istituto Zooprofillattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, 10154, Torino, Italy.
Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d'Aosta · ITASL Roma · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCanine cancer registry data can be put to good use in epidemiological studies. Quantitative comparison of tumour types may reveal unusual cancer frequencies, providing directions for research and generation of hypotheses of cancer causation in a specific area, and suggest leads for identifying risk factors. Here we report canine cancer incidence rates calculated from a population-based registry in an area without any known specific environmental hazard.

resultsIn its 90 months of operation from 2001 to 2008 (the observation period in this study), the population-based Piedmont Canine Cancer Registry collected data on 1175 tumours confirmed by histopathological diagnosis. The incidence rate was 804 per 100,000 dog-years for malignant tumours and 897 per 100,000 dog-years for benign tumours. Higher rates for all cancers were observed in purebred dogs, particularly in Yorkshire terrier and Boxer. The most prevalent malignant neoplasms were cutaneous mastocytoma and hemangiopericytoma, and mammary gland complex carcinoma and simplex carcinoma.

conclusionsThe Piedmont canine cancer registry is one of few of its kind whose operations have been consistently supported by long-term public funding. The registry-based cancer incidence rates were estimated with particular attention to the validity of data collection, thus minimizing the potential for bias. The findings on cancer incidence rates may provide a reliable reference for comparison studies. Researches conducted on dogs, used as sentinels for community exposure to environmental carcinogens, can be useful to detect excess risks in the incidence of malignant tumours in the human population.

Indexed as

RegistriesAge FactorsAnimalsDog DiseasesDogsFemaleIncidenceItalyMaleNeoplasmsRisk FactorsCancer epidemiologyDogIncidencePopulation-based cancer registrySentinel animalTumours

Identifiers

PMID28659149
PMCPMC5490209
OpenAlexW2725748047

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.