Evidence map›Paper›PMID 35112008›Full record

ArticleJournal of veterinary research2021

Mutations of

Agnieszka Jasik, Anna Kycko, Monika Olech, Krzysztof Wyrostek, Anna Śmiech, Wojciech Łopuszyński, Iwona Otrocka-Domagała, Mateusz Mikiewicz, Izabella Dolka

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 4 institutions in 1 country.

Agnieszka JasikDepartment of Pathology, Puławy, Poland.
Anna KyckoDepartment of Pathology, Puławy, Poland.
Monika OlechDepartment of Biochemistry, Puławy, Poland.
Krzysztof WyrostekDepartment of Poultry Diseases, National Veterinary Research Institute, 24-100 Puławy, Poland.
Anna ŚmiechDepartment of Pathology, Faculty of Veterinary Medicine, University of Life Sciences in Lublin, 20-612 Lublin, Poland.
Wojciech ŁopuszyńskiDepartment of Pathology, Faculty of Veterinary Medicine, University of Life Sciences in Lublin, 20-612 Lublin, Poland.
Iwona Otrocka-DomagałaDepartment of Pathology, Faculty of Veterinary Medicine, University of Warmia and Mazury, 10-718 Olsztyn, Poland.
Mateusz MikiewiczDepartment of Pathology, Faculty of Veterinary Medicine, University of Warmia and Mazury, 10-718 Olsztyn, Poland.
Izabella DolkaDepartment of Pathology, Faculty of Veterinary Medicine, Warsaw University of Life Sciences, 02-776 Warsaw, Poland.
University of Life Sciences in Lublin · PLUniversity of Warmia and Mazury in Olsztyn · PLNational Veterinary Research Institute · PLWarsaw University of Life Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionApocrine sweat gland carcinomas (ASGCs) are rare malignant skin tumours in dogs and humans. The literature published so far focuses mostly on the clinico-epidemiological aspect of these tumours, but little is known about their pathogenesis. In this study we aimed to determine whether the MATERIAL AND

methodsForty canine ASGCs were submitted to laser capture microdissection to isolate neoplastic cells, from which DNA was subsequently extracted. PCR amplification and sequencing of

resultsSixteen mutations within the

conclusionThe results of the present study indicate both the participation of the

Indexed as

apocrine sweat gland carcinomadogp53 gene, mutationsUVR

Identifiers

PMID35112008
PMCPMC8775725
OpenAlexW4200368674

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.