Evidence map›Paper›PMID 37835720›Full record

ArticleAnimals : an open access journal from MDPI2023

Monitoring of Body Condition in Dairy Cows to Assess Disease Risk at the Individual and Herd Level.

Ramiro Rearte, Santiago Nicolas Lorenti, German Dominguez, Rodolfo Luzbel de la Sota, Isabel María Lacau-Mengido, Mauricio Javier Giuliodori

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. 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, top 78% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Beef Cattle Body Weight Estimation Based on Dual-View RGB Images.Animals : an open access journal from MDPI · 2026
    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

6 authors at 3 institutions in 1 country.

Ramiro RearteCátedra de Higiene, Epidemiología y Salud Pública, Facultad de Ciencias Veterinarias-Universidad Nacional de La Plata (FCV-UNLP), La Plata B1900AVW, Argentina.
Santiago Nicolas LorentiActividad Privada, Brandsen B1890AVW, Argentina.
German DominguezActividad Privada, Venado Tuerto S2600GOZ, Argentina.
Rodolfo Luzbel de la SotaConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires C1033AAJ, Argentina.ORCID 0000-0002-9417-9560
Isabel María Lacau-MengidoConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires C1033AAJ, Argentina.ORCID 0000-0003-2547-3819
Mauricio Javier GiuliodoriInstituto de Investigaciones en Reproducción Animal (INIRA), Facultad de Ciencias Veterinarias-Universidad Nacional de La Plata (FCV-UNLP), La Plata B1900AVW, Argentina.
Consejo Nacional de Investigaciones Científicas y Técnicas · ARHospital Privado · ARUniversidad Nacional de La Plata · AR

Funding

National University of La Plata Incentive Program 11/230National University of La Plata Incentive Program V11/278
6 · The paper itself

Abstract

A retrospective longitudinal study assessing the explanatory and predictive capacity of body condition score (BCS) in dairy cows on disease risk at the individual and herd level was carried out. Data from two commercial grazing herds from the Argentinean Pampa were gathered (Herd A = 2100 and herd B = 2600 milking cows per year) for 4 years. Logistic models were used to assess the association of BCS indicators with the odds for anestrus at the cow and herd level. Population attributable fraction (AF

Indexed as

anestrus ratebody condition scoringdairy herdmonitoring risk factors

Identifiers

PMID37835720
PMCPMC10571981
OpenAlexW4387400019

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.