Evidence map›Paper›PMID 32045429›Full record

ArticlePloS one2020

Evaluation of cranial tibial translation in dogs: Diagnostic accuracy of radiographic method using a simple device.

Adolfo Maria Tambella, Luca Omini, Anna Rita Attili, Cecilia Vullo, Stefano Martin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
0.4field-weighted citation impact, top 40% 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

5 authors at 2 institutions in 1 country.

Adolfo Maria TambellaUniversity of Camerino, School of Biosciences and Veterinary Medicine, Matelica (MC), Italy.ORCID 0000-0002-6590-1876
Luca OminiClinica Veterinaria Omini Luca, Chiaravalle (AN), Italy.
Anna Rita AttiliUniversity of Camerino, School of Biosciences and Veterinary Medicine, Matelica (MC), Italy.ORCID 0000-0002-9085-7125
Cecilia VulloUniversity of Camerino, School of Biosciences and Veterinary Medicine, Matelica (MC), Italy.
Stefano MartinUniversity of Camerino, School of Biosciences and Veterinary Medicine, Matelica (MC), Italy.
Università di Camerino · ITCentro Studi Luca d’Agliano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A hand-made, radiolucent, custom-designed device having a mobile and a non-mobile platforms was used to objectively quantify the in vivo cranial tibial translation, in order to assess the functional status of cranial-cruciate-ligament (CrCL) in dogs. The hypothesis was that changes in CrCL integrity would result in detectable changes in tibial translation. To validate the diagnostic method, data from injured (PA, n = 32), contralateral (CO, n = 32) and healthy stifles (HE, n = 32) were compared. Normalized tibial translation (ΔN) of each stifle was measured in medio-lateral radiographic projection obtained before and during standard thrust force application, in PA (43.59±12.97%), CO (20.32±6.69%) and HE (12.22±3.77%). Comparing PA with HE and CO (ΔN cut-off value: 29.73%), diagnosis could be issued with very high probability. Comparing HE with CO (ΔN cut-off value: 14.80%), high performance was obtained. The translator device could be a useful tool to objectively quantify the in vivo tibial translation in dogs with CrCL rupture, before surgery and during post-operatory follow-up.

Indexed as

AnimalsAnterior Cruciate LigamentAnterior Cruciate Ligament InjuriesDogsFemaleMalePatient PositioningRadiography

Identifiers

PMID32045429
PMCPMC7012417
OpenAlexW3005572372

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.