Evidence map›Paper›PMID 30307654›Full record

ArticleJournal of veterinary internal medicine2018

Two mixed breed dogs with sensory neuropathy are homozygous for an inversion disrupting FAM134B previously identified in Border Collies.

Pablo Amengual-Batle, Clare Rusbridge, Roberto José-López, Lorenzo Golini, G Diane Shelton, Cathryn S Mellersh, Rodrigo Gutierrez-Quintana

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of veterinary internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

7 citing papers in PubMed, 8 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

7 authors at 5 institutions in 2 countries.

Pablo Amengual-BatleSmall Animal Hospital, School of Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.
Clare RusbridgeFitzpatrick Referrals, Eashing, Surrey, United Kingdom.
Roberto José-LópezSmall Animal Hospital, School of Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-0661-5562
Lorenzo GoliniNorthwest Veterinary Specialists, Cheshire, United Kingdom.
G Diane SheltonDepartment of Pathology, School of Medicine, University of California, San Diego, San Diego, California.
Cathryn S MellershAnimal Health Trust, Newmarket, United Kingdom.
Rodrigo Gutierrez-QuintanaSmall Animal Hospital, School of Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-3570-2542
University of Glasgow · GBAnimal Health Trust · GBFife Council · GBNorthwest Orthopaedic Specialists · USUniversity of San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two unrelated 8-month-old male mixed breed dogs were presented for evaluation of progressive ataxia, knuckling, and lack of pain perception in the distal limbs. Because of the similarity in age of onset, progression, and clinical findings with previously described sensory neuropathy in Border Collies, the affected dogs were screened for an FAM134B mutation and were determined to be homozygous for the mutation. Despite few phenotypic similarities with other breeds, genetic testing for specific diseases should be considered in mixed breed dogs with compatible clinical signs, especially if ancestry is unknown.

Indexed as

AnimalsDog DiseasesDogsGenesHereditary Sensory and Autonomic NeuropathiesHomozygoteMaleMutationSpecies Specificitydoghereditary neuropathymutationsensory-autonomic neuropathy

Identifiers

PMID30307654
PMCPMC6272042
OpenAlexW2896215900

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.