Evidence map›Paper›PMID 39264574›Full record

ArticleVeterinary research communications2024

Detection of parasitic forms in feces of Chelonoidis carbonarius (Linnaeus, 1766) from Brazilian Cerrado.

Lizandra Fernandes da Silva, Ana Paula Dorr, Victória Luiza de Barros Silva, Renan Mendes Pires Moreira, Rosa Helena Dos Santos Ferraz, Rachel de Sousa Lima Pulcherio, Thais Oliveira Morgado, Richard de Campos Pacheco, Dirceu Guilherme de Souza Ramos

Abstract read
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In one paragraph

Article in Veterinary research communications, 2024. 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
–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

0 citing papers in PubMed.

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

9 authors.

Lizandra Fernandes da SilvaLaboratório de Parasitologia e Análises Clínicas Veterinária, Instituto de Ciências Agrárias, Universidade Federal de Jataí, BR 364, km 195, nº 3800, 75801-615, Jataí, Goiás, Brasil.ORCID http://orcid.org/0009-0000-2490-9057
Ana Paula DorrLaboratório de Parasitologia Veterinária e Doenças Parasitárias, Faculdade de Medicina Veterinária, Universidade Federal de Mato Grosso, Av. Fernando Corrêa da Costa, nº 2367, Boa Esperança, 78060-900, Cuiabá, Mato Grosso, Brasil.ORCID http://orcid.org/0000-0002-9445-522X
Victória Luiza de Barros SilvaLaboratório de Parasitologia Veterinária e Doenças Parasitárias, Faculdade de Medicina Veterinária, Universidade Federal de Mato Grosso, Av. Fernando Corrêa da Costa, nº 2367, Boa Esperança, 78060-900, Cuiabá, Mato Grosso, Brasil.ORCID http://orcid.org/0000-0001-7545-294X
Renan Mendes Pires MoreiraLaboratório de Parasitologia e Análises Clínicas Veterinária, Instituto de Ciências Agrárias, Universidade Federal de Jataí, BR 364, km 195, nº 3800, 75801-615, Jataí, Goiás, Brasil.ORCID http://orcid.org/0000-0003-4431-0134
Rosa Helena Dos Santos FerrazLaboratório de Análises Clínicas de Aves e Répteis, Faculdade de Medicina Veterinária, Universidade Federal de Mato Grosso, Av. Fernando Corrêa da Costa, nº 2367, Boa Esperança, 78060-900, Cuiabá, Mato Grosso, Brasil.ORCID http://orcid.org/0000-0002-9980-4994
Rachel de Sousa Lima PulcherioInstituto Federal de Mato Grosso, Campus de São Vicente, BR-364, Km 329, s/n, 78.106-000, Cuiabá, Mato Grosso, Brasil.ORCID http://orcid.org/0000-0003-1230-4629
Thais Oliveira MorgadoSetor de Animais de Silvestres, Hospital Veterinário, Faculdade de Medicina Veterinária, Universidade Federal de Mato Grosso, Av. Fernando Corrêa da Costa, nº 2367, Boa Esperança, 78060-900, Cuiabá, Mato Grosso, Brasil.ORCID http://orcid.org/0000-0002-2974-3241
Richard de Campos PachecoLaboratório de Parasitologia Veterinária e Doenças Parasitárias, Faculdade de Medicina Veterinária, Universidade Federal de Mato Grosso, Av. Fernando Corrêa da Costa, nº 2367, Boa Esperança, 78060-900, Cuiabá, Mato Grosso, Brasil.ORCID http://orcid.org/0000-0002-7135-1516
Dirceu Guilherme de Souza RamosLaboratório de Parasitologia e Análises Clínicas Veterinária, Instituto de Ciências Agrárias, Universidade Federal de Jataí, BR 364, km 195, nº 3800, 75801-615, Jataí, Goiás, Brasil. dgramos_vet@hotmail.com.ORCID http://orcid.org/0000-0001-9603-6638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chelonoidis carbonarius is host to a great diversity of endoparasites. This research aimed to identify and taxonomically classify the parasitic forms of endoparasites found in the feces of C. carbonarius using coproparasitological methods. In total, 38 fecal samples were collected from animals captured in the municipalities of Cuiabá (n = 23) and Jataí (n = 15) in the Brazilian Ceraado. Fecal samples were submitted to at least one of the following techniques: Willis-Mollay flotation technique, zinc sulfate centrifugal flotation technique, and spontaneous sedimentation of Hoffman, and Pons, and Janer. Overall, 86.85% (33/38) of animals were positive in at least one of the diagnostic techniques. Of the 38 samples used, 50% of the animals were captive and 50% of the animals were free-living. Cysts, oocysts, and parasitic eggs were identified, as follows: Chapiniella spp. (65.78%; n = 24), Sauricola spp. (31.57%; n = 12), Ascaroidea (15.78%; n = 6), Oxyuridae (2.63%; n = 1), Trematoda (2.63%; n = 1), Acanthocephala (2.63%; n = 1), Balantidium spp. (39.47%; n = 15), Eimeria spp. (21.05%; n = 8), and Nyctotherus spp. (2.63%; n = 1). The study showed that both captive and free-living C. carbonarius are often parasitized by different endoparasite species, with nematode eggs being the most common.

Indexed as

FecesTurtlesAnimalsBrazilAcanthocephalaAscarididaCoproparasitological testsNematodaOxyuridaeRed-footed tortoises

Identifiers

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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.