Evidence map›Paper›PMID 33800067›Full record

ArticleAnimals : an open access journal from MDPI2021

Total and Differential Cell Counts as a Tool to Identify Intramammary Infections in Cows after Calving.

Alfonso Zecconi, Gabriele Meroni, Valerio Sora, Roberto Mattina, Micaela Cipolla, Lucio Zanini

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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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 2 institutions in 1 country.

Alfonso ZecconiDepartment of Biomedical, Surgical and Dental Sciences-One Health Unit, University of Milano, Via Pascal 36, 20133 Milano, Italy.ORCID 0000-0002-3127-8385
Gabriele MeroniDepartment of Biomedical, Surgical and Dental Sciences-One Health Unit, University of Milano, Via Pascal 36, 20133 Milano, Italy.ORCID 0000-0003-2772-6410
Valerio SoraDepartment of Biomedical, Surgical and Dental Sciences-One Health Unit, University of Milano, Via Pascal 36, 20133 Milano, Italy.ORCID 0000-0003-1838-4885
Roberto MattinaDepartment of Biomedical, Surgical and Dental Sciences-One Health Unit, University of Milano, Via Pascal 36, 20133 Milano, Italy.
Micaela CipollaAssociazione Regionale Allevatori Lombardia, Via Kennedy 30, 26013 Crema, Italy.
Lucio ZaniniAssociazione Regionale Allevatori Lombardia, Via Kennedy 30, 26013 Crema, Italy.
University of Milan · ITAssociazione Regionale Allevatori della Lombardia · IT

Funding

Ministero delle Politiche Agricole Alimentari e Forestali 16815/7100/2019
6 · The paper itself

Abstract

Milk differential somatic cells count (DSCC), made possible under field conditions by the recent availability of a high-throughput milk analyzer may represent an improvement in mastitis diagnosis. While an increasing number of studies reports data on DSCC on individual cow samples, very few concerns DSCC from quarter milk samples. This paper reports for the first time the results of a retrospective study aiming to assess the performance of total (SCC), DSCC, and a novel calculated marker (PLCC) measured on quarter milk samples as a method to identify cows at risk for intramammary infection (IMI) in the first 30 days after calving. Overall, 14,586 valid quarter milk samples (3658 cows) taken in the first 30 days of lactation were considered. Quarters with major pathogens (MP) IMI, as expected, showed significantly higher means for SCC, DSCC, and PLCC. The accuracy, sensitivity, and specificity of the diagnosis based on different cut-offs calculated by ROC analysis are relatively close among DSCC, PLCC, and SCC (up to cut-off of 200,000 cells/mL). However, decision-tree analysis which includes the costs of analysis, but also the costs of the actions taken after test results showed as PLCC has the lowest cost among the three markers, and PLCC and SCC are cost effective when MP prevalence is higher than 6-10%. This diagnostic approach is of high interest particularly when selective dry cow therapy is applied to improve animal health at the herd level.

Indexed as

diagnosisdifferential cell countmastitisperiparturient periodtotal cell count

Identifiers

PMID33800067
PMCPMC8001259
OpenAlexW3135896176

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.