Evidence map›Paper›PMID 34827844›Full record

ArticleAnimals : an open access journal from MDPI2021

A Questionnaire Study on the Use of Complementary and Alternative Veterinary Medicine for Horses in Sweden.

Karin Gilberg, Anna Bergh, Susanna Sternberg-Lewerin

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 15 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

3 authors at 1 institution in 1 country.

Karin GilbergDistriktsveterinärerna Gävle, Ludvigsbergsvägen 12, 81831 Valbo, Sweden.
Anna BerghDepartment of Clinical Sciences, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden.ORCID 0000-0002-5567-6249
Susanna Sternberg-LewerinDepartment of Biomedical Sciences & Veterinary Public Health, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden.ORCID 0000-0001-7907-8377
Swedish University of Agricultural Sciences · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complementary or alternative veterinary medicine (CAVM) includes treatment methods with limited scientific evidence. Swedish veterinarians are legally obliged to base treatments and recommendations on science or well-documented experience, but most CAVM methods are not well documented in animals. The aim of this study was to explore the use of CAVM in Swedish horses. Electronic questionnaires were distributed to horse owners, equine veterinary practitioners and CAVM therapists. Of the 204 responding horse owners, 83% contacted a veterinarian first in case of lameness, while 15% contacted a CAVM therapist. For back pain, 52% stated a CAVM therapist as their first contact and 45% a veterinarian. Only 10-15% of the respondents did not use any CAVM method for prevention or after injury. Of the 100 veterinarians who responded, more than half did not use CAVM themselves but 55% did refer to people who offer this service. Of the 124 responding CAVM therapists, 72% recommended their clients to seek veterinary advice when needed, 50% received referrals from a veterinarian, and 25% did not collaborate with a veterinarian. The two most common methods used by the respondents in all three categories were stretching and massage. Most veterinarians and therapists were not content with the current lack of CAVM regulation.

Indexed as

CAMCAVMrehabilitationtherapisttreatment

Identifiers

PMID34827844
PMCPMC8614453
OpenAlexW3208819845

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.