Evidence map›Paper›PMID 34209294›Full record

ArticleVeterinary sciences2021

Erythrogram Patterns in Dogs with Chronic Kidney Disease.

Ilaria Lippi, Francesca Perondi, George Lubas, Eleonora Gori, Alessio Pierini, Alessandra D'Addetta, Veronica Marchetti

Open access · goldAbstract read
In one paragraph

Article in Veterinary sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Anemia in Dogs with Acute Kidney Injury.Veterinary sciences · 2024
    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

7 authors at 1 institution in 1 country.

Ilaria LippiDepartment of Veterinary Science, University of Pisa, 56122 San Piero a Grado (Pisa), Italy.
Francesca PerondiDepartment of Veterinary Science, University of Pisa, 56122 San Piero a Grado (Pisa), Italy.ORCID 0000-0003-4703-7559
George LubasDepartment of Veterinary Science, University of Pisa, 56122 San Piero a Grado (Pisa), Italy.ORCID 0000-0002-9430-1060
Eleonora GoriDepartment of Veterinary Science, University of Pisa, 56122 San Piero a Grado (Pisa), Italy.ORCID 0000-0001-8612-5573
Alessio PieriniDepartment of Veterinary Science, University of Pisa, 56122 San Piero a Grado (Pisa), Italy.ORCID 0000-0002-9336-5150
Alessandra D'AddettaDepartment of Veterinary Science, University of Pisa, 56122 San Piero a Grado (Pisa), Italy.
Veronica MarchettiDepartment of Veterinary Science, University of Pisa, 56122 San Piero a Grado (Pisa), Italy.ORCID 0000-0001-6099-6223
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anemia is considered a common finding in dogs with chronic kidney disease (CKD), typically as normochromic, normocytic, and non-regenerative. Although anemia can occur at any CKD IRIS (International Renal Interest Society) stage, its severity is related with the loss of kidney function. The aim of the present study was to retrospectively evaluate quantitative and morphological abnormalities of the erythrogram in dogs at different CKD IRIS stages. A total of 482 CBCs from 3648 initially screened were included in the study. Anemia was present in 302/482 (63%) dogs, in the majority of which it was normochromic, normocytic, and non-regenerative (295/302; 98%). The number of reticulocytes was <60,000/μL in the majority of dogs (248/295; 84%), with a correlation between poor regeneration rate and progression of CKD (

Indexed as

anemiaCKDdogerythrogram

Identifiers

PMID34209294
PMCPMC8310284
OpenAlexW3176318410

What OpenQuestion 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 OpenQuestion graph.