Evidence map›Paper›PMID 37456964›Full record

ArticleFrontiers in veterinary science2023

Translation to Spanish and linguistic validation of the Canine Brief Pain Inventory.

María Olcoz, Miguel Ángel Cabezas, Giorgia Della Rocca, Ignacio A Gómez de Segura

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 4 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

4 authors at 2 institutions in 2 countries.

María OlcozDepartment of Animal Medicine and Surgery, University Complutense of Madrid, Madrid, Spain.
Miguel Ángel CabezasDepartment of Animal Medicine and Surgery, University Complutense of Madrid, Madrid, Spain.
Giorgia Della RoccaCeRiDA - Research Center on Animal Pain, Department of Veterinary Medicine, University of Perugia, Perugia, Italy.
Ignacio A Gómez de SeguraDepartment of Animal Medicine and Surgery, University Complutense of Madrid, Madrid, Spain.
Universidad Complutense de Madrid · ESUniversity of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pain scales for the assessment of chronic pain have been developed for dogs but they should be translated and linguistically validated to be used by owners with different native languages. The Canine Brief Pain Inventory (CBPI) is widely employed for this purpose but has not been translated into Spanish. Thus, the aim was to produce a validated translation of the Spanish CBPI. Methods: The original English version of the CBPI was analyzed and translated by two native linguists of the target language and both revised by a third native linguist to identify potential discrepancies and create a unified translation (reconciliation). Then, an independent linguist with native fluency in English and the target language drafted the back-translation. Finally, the research team confronted both the original and the back-translation to identify and solve relevant differences. Once the translated version was produced, a cognitive debriefing was performed to assess the questionnaire in the target population. Results: A total of 50 surveys were conducted to dog and cat owners of different ages, sex, and socio-economic characteristics. All respondents considered the survey to be clear and a final version of the Spanish CBPI has been produced.

Indexed as

chronic paindogosteoarthritispain assessmentquestionnaire

Identifiers

PMID37456964
PMCPMC10348357
OpenAlexW4382874279

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.