Evidence map›Paper›PMID 32751944›Full record

ArticleVeterinary sciences2020

Clinical, Electrodiagnostic Findings and Quality of Life of Dogs and Cats with Brachial Plexus Injury.

Marika Menchetti, Gualtiero Gandini, Beatrice Bravaccini, Maurizio Dondi, Teresa Gagliardo, Ezio Bianchi

Open access · goldAbstract read
In one paragraph

Article in Veterinary sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
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

6 authors at 3 institutions in 1 country.

Marika MenchettiDepartment of Veterinary Medical Sciences, University of Bologna, 40064 Ozzano dell'Emilia (BO), Italy.
Gualtiero GandiniDepartment of Veterinary Medical Sciences, University of Bologna, 40064 Ozzano dell'Emilia (BO), Italy.ORCID 0000-0001-9247-7110
Beatrice BravacciniDepartment of Veterinary Medical Sciences, University of Bologna, 40064 Ozzano dell'Emilia (BO), Italy.
Maurizio DondiDepartment of Veterinary Medical Science, University of Parma, 43121 Parma (PR), Italy.
Teresa GagliardoDepartment of Veterinary Medical Sciences, University of Bologna, 40064 Ozzano dell'Emilia (BO), Italy.
Ezio BianchiDepartment of Veterinary Medical Science, University of Parma, 43121 Parma (PR), Italy.
University of Bologna · ITUniversity of Parma · ITVeterinary Oncological Center · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brachial plexus injury (BPI) represents a common consequence of road traffic accidents in humans and small animals. In humans, neuropathic pain is a common symptom after BPI. The aim of the study was to describe the clinical signs, the electrodiagnostic findings, the outcome and the quality of life (QoL) of a cohort of dogs and cats with BPI. Clinical records of 40 dogs and 26 cats with BPI were retrospectively reviewed. Specific attention was put on the evaluation of electrodiagnostic findings (35/40 dogs; 14/26 cats) and telephonic interview results (26/40 dogs; 18/26 cats). The most common neurological condition was the inability to bear weight and sensory deficits on the affected limb. Radial and ulnar motor nerve conduction studies (MNCSs) were absent respectively in 47% (radial) and 62% (ulnar) of dogs and 57% (radial) and 57% (ulnar) of cats. The absence of radial (

Indexed as

brachial plexus injurycatdogneuropathic pain

Identifiers

PMID32751944
PMCPMC7558042
OpenAlexW3046302801

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.