Evidence map›Paper›PMID 33142854›Full record

ArticleLife (Basel, Switzerland)2020

Investigation of Genetic Modifiers of Copper Toxicosis in Labrador Retrievers.

Xiaoyan Wu, Elise R den Boer, Manon Vos-Loohuis, Frank G van Steenbeek, Glen R Monroe, Isaäc J Nijman, Peter A J Leegwater, Hille Fieten

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  3. Review
  4. Article
  5. Article
  6. Article
  7. Copper-associated hepatitis in a young Dalmatian dog in Japan.The Journal of veterinary medical science · 2021
    Article
  8. 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 1 country.

Xiaoyan WuDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 108, 3584 CM Utrecht, The Netherlands.
Elise R den BoerDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 108, 3584 CM Utrecht, The Netherlands.ORCID 0000-0003-3120-2097
Manon Vos-LoohuisDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 108, 3584 CM Utrecht, The Netherlands.
Frank G van SteenbeekDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 108, 3584 CM Utrecht, The Netherlands.ORCID 0000-0001-5460-6540
Glen R MonroeCenter for Molecular Medicine, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands.ORCID 0000-0002-8653-2643
Isaäc J NijmanCenter for Molecular Medicine, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands.
Peter A J LeegwaterDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 108, 3584 CM Utrecht, The Netherlands.
Hille FietenDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 108, 3584 CM Utrecht, The Netherlands.
Utrecht University · NLUniversity Medical Center Utrecht · NL

Funding

Chinese Government Scholarship 2014070090064
6 · The paper itself

Abstract

Copper toxicosis is a complex genetic disorder in Labrador retrievers characterized by hepatic copper accumulation eventually leading to liver cirrhosis. The variation of hepatic copper levels in Labrador retrievers has been partly explained by mutations in

Indexed as

ATP7AATP7Bcoppercopper toxicosisdogLabrador retrieverMenkes diseaseRETNWilson disease

Identifiers

PMID33142854
PMCPMC7693796
OpenAlexW3097860045

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.