Evidence map›Paper›PMID 37106876›Full record

ArticleAnimals : an open access journal from MDPI2023

Biological Variation and Reference Change Value of Routine Hematology Measurands in a Population of Managed Bottlenose Dolphins (

Federico Bonsembiante, Carlo Guglielmini, Michele Berlanda, Pietro Fiocco, Barbara Biancani, Carla Genovese, Silvia Bedin, Maria Elena Gelain

Abstract 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. 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

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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

8 authors.

Federico BonsembianteDepartment of Animal Medicine, Production and Health, University of Padua, 35020 Legnaro, PD, Italy.ORCID 0000-0002-2879-7117
Carlo GuglielminiDepartment of Animal Medicine, Production and Health, University of Padua, 35020 Legnaro, PD, Italy.ORCID 0000-0001-7575-3646
Michele BerlandaDepartment of Animal Medicine, Production and Health, University of Padua, 35020 Legnaro, PD, Italy.ORCID 0000-0001-5961-0987
Pietro FioccoDepartment of Animal Medicine, Production and Health, University of Padua, 35020 Legnaro, PD, Italy.
Barbara BiancaniZoomarine Italia, 00071 Torvaianica, RM, Italy.ORCID 0000-0002-3306-6669
Carla GenoveseZoomarine Italia, 00071 Torvaianica, RM, Italy.ORCID 0009-0002-1616-837X
Silvia BedinDepartment of Animal Medicine, Production and Health, University of Padua, 35020 Legnaro, PD, Italy.
Maria Elena GelainDepartment of Comparative Biomedicine and Food Science, University of Padua, 35020 Legnaro, PD, Italy.ORCID 0000-0002-8633-0988

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematological analyses are particularly useful in assessing a dolphin's health status. However, the creation of appropriate reference intervals for this species is difficult due to the low number of reference individuals. The implementation of individual reference intervals (iRIs) allows researchers to overcome this limitation and, moreover, also consider the within-individual variability. The aims of this study were (1) to evaluate the biological variations in some hematological measurands, including erythrocytes (RBC), hematocrit (Hct), mean cellular volume and hemoglobin content (MCV and MCHC, respectively), RBC distribution width (RDW), leukocytes (WBC), and platelets (PLT); and (2) to calculate the index of individuality (IoI) and reference change value (RCV), which enable the production of iRIs, in healthy managed bottlenose dolphins. Seven dolphins were included, and the results of six hematological exams were analyzed for each animal. Analytical imprecision (CV

Indexed as

between-individuals variabilitycomplete blood cell countindex of individualitymarine mammalswithin-individual variability

Identifiers

PMID37106876
PMCPMC10135091

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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.