Evidence map›Paper›PMID 41312863›Full record

ArticleThe Veterinary record

Oral cheek tooth extraction and treatment of osteomyelitis in llamas and alpacas.

Nora M Biermann, Eva Haltmayer, Matthias Jehle

Abstract read
In one paragraph

Article in The Veterinary record. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

3 authors.

Nora M BiermannClinical Center of Equine Health and Research, Clinical Department of Companion Animals and Horses, University of Veterinary Medicine, Vienna, Austria.ORCID https://orcid.org/0000-0002-7780-3827
Eva HaltmayerPferdeklinik Tillysburg, St. Florian, Austria.
Matthias JehleTierärztliche Klinik Gessertshausen, Gessertshausen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvanced dental disease with associated osteomyelitis is commonly encountered in New World camelids (NWC). In the past, the treatment of choice consisted of extraoral techniques, with complications occurring in up to 70% of cases. With advances in the treatment of dental disease in other species, oral extraction may offer a less invasive alternative, possibly associated with fewer complications. This report describes the diagnosis, treatment and long-term outcome of NWC with dental disease.

methodsThis was a retrospective study of NWC with advanced dental disease undergoing oral cheek tooth extraction between September 2020 and November 2024.

resultsForty animals (20 alpacas and 20 llamas) undergoing oral extraction of one to four cheek teeth (median: 2, interquartile range: 1.1-2.9) were included. Eleven animals (27.5%) experienced complications. Most of these complications were mild, primarily consisting of tooth root fractures. The mean follow-up duration was 24.1 months (standard deviation = 16.5 months). At the final follow-up, 92.1% (35/38) of animals exhibited resolution of clinical signs. LIMITATIONS: Retrospective nature of study and large variation in severity of dental pathologies.

conclusionOral extraction of cheek teeth in NWC is a feasible alternative to extraoral approaches and carries a favourable prognosis. While dental equipment intended for other species can be used, species-specific dental features should be taken into consideration when oral extraction is performed.

Indexed as

Camelids, New WorldCheekOsteomyelitisRetrospective StudiesTooth ExtractionAnimalsFemaleMaleStomatognathic Diseasesdental diseaselarge animal surgerynew world camelidsperiapical tooth root infectionsperiodontal disease

Identifiers

PMID41312863
PMCPMC12661633

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LicenceCC BY-NC-ND
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Registered trials

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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.