Evidence map›Paper›PMID 37627374›Full record

ArticleAnimals : an open access journal from MDPI2023

Predicting Sex in White Rhinoceroses: A Statistical Model for Conservation Management.

Leticia Martínez, Paloma Jimena de Andrés, Jose Manuel Caperos, Gema Silván, Jesús Fernández-Morán, Miguel Casares, Belén Crespo, Daniel Vélez, Luis Sanz, Sara Cáceres and 1 more

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. 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
0.3field-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, 1 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

11 authors at 2 institutions in 1 country.

Leticia MartínezDepartment of Animal Physiology, Veterinary Faculty, Complutense University of Madrid, 28040 Madrid, Spain.
Paloma Jimena de AndrésDepartment of Animal Medicine and Surgery, Veterinary Faculty, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0002-2513-7594
Jose Manuel CaperosClinical Psychology Unit (UNINPSI), Department of Psychology, Comillas Pontifical University, Calle Mateo Inurria 37, 28036 Madrid, Spain.ORCID 0000-0001-9463-9443
Gema SilvánDepartment of Animal Physiology, Veterinary Faculty, Complutense University of Madrid, 28040 Madrid, Spain.
Jesús Fernández-MoránZoogical Area of Parques Reunidos Group, Casa de Campo s/n, 28011 Madrid, Spain.
Miguel CasaresBioparc Valencia, Avenida Pio Baroja 3, 46015 Valencia, Spain.
Belén CrespoDepartment of Animal Physiology, Veterinary Faculty, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-5383-6184
Daniel VélezDepartment of Statistics and Operational Research, Faculty of Mathematics, Complutense University of Madrid, 28040 Madrid, Spain.
Luis SanzDepartment of Statistics and Operational Research, Faculty of Mathematics, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0002-1050-462X
Sara CáceresDepartment of Animal Physiology, Veterinary Faculty, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-6947-2127
Juan Carlos IlleraDepartment of Animal Physiology, Veterinary Faculty, Complutense University of Madrid, 28040 Madrid, Spain.
Universidad Complutense de Madrid · ESUniversidad Pontificia Comillas · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring the effective management of every rhinoceros population is crucial for securing a future for the species, especially considering the escalating global threat of poaching and the challenges faced in captive breeding programs for this endangered species. Steroid hormones play pivotal roles in regulating diverse biological processes, making fecal hormonal determinations a valuable non-invasive tool for monitoring adrenal and gonadal endocrinologies and assessing reproductive status, particularly in endangered species. The purpose of this study was to develop a statistical model for predicting the sex of white rhinoceroses using hormonal determinations obtained from a single fecal sample. To achieve this, 562 fecal samples from 15 individuals of the

Indexed as

cortisolestronefecesgender determinationprogesteronereproductionsteroid hormone metabolitestestosteronewildlife

Identifiers

PMID37627374
PMCPMC10451157
OpenAlexW4385741383

What Socratic 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 Socratic graph.