Evidence map›Paper›PMID 36552389›Full record

ArticleAnimals : an open access journal from MDPI2022

Relationship between Blood Parameters and Outcome in Rescued Roe Deer.

Maria Irene Pacini, Francesca Bonelli, George Lubas, Micaela Sgorbini

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. 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

4 authors.

Maria Irene PaciniDepartment of Veterinary Sciences, University of Pisa, Viale delle Piagge 2, 56100 Pisa, Italy.ORCID 0000-0002-6738-0699
Francesca BonelliDepartment of Veterinary Sciences, University of Pisa, Viale delle Piagge 2, 56100 Pisa, Italy.ORCID 0000-0002-4119-7781
George LubasDepartment of Veterinary Sciences, University of Pisa, Viale delle Piagge 2, 56100 Pisa, Italy.ORCID 0000-0002-9430-1060
Micaela SgorbiniDepartment of Veterinary Sciences, University of Pisa, Viale delle Piagge 2, 56100 Pisa, Italy.ORCID 0000-0002-0294-1803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Veterinary facility admissions of wild animals are increasing alongside the interest in wildlife diseases. To improve animal welfare, it is therefore important to increase veterinarians’ knowledge of wild animal medicine and to improve the clinical and diagnostic procedures, especially in the case of patients affected by trauma or multiple traumas. Blood analysis can be a quick and minimally invasive way of gathering useful clinical information for adequate treatment and management, and, together with a good clinical examination, to help predict hospitalisation outcomes. Few papers have reported reference ranges for the haematological and biochemical parameters of roe deer. This study evaluates the haematological and biochemical parameters in traumatised roe deer in relation to animal hospitalisation outcomes. The study was carried out on a cohort of 98 roe deer divided into groups according to their age and hospitalisation outcome. For each animal, a panel of haematological and biochemical parameters was performed. Significant differences were found between unweaned (<4 months old) groups in terms of MCV, MCH, CK, creatinine, total bilirubin, direct bilirubin, and indirect bilirubin, and between weaned (>4 months old) groups for total bilirubin. Creatine kinase, creatinine, and bilirubin may be useful indicators to correlate with the severity of trauma and help predict prognosis.

Indexed as

biochemistryblood analysishaematologyroe deerwildlife

Identifiers

PMID36552389
PMCPMC9774528

What OpenQuestion holds

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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.