Evidence map›Paper›PMID 41630744›Full record

ArticleOpen veterinary journal2025

Somatic cell counts as predictors of

Rachid Hnini, Eliane Silva, Hicham Esselmani, Mohamed Obaouz, Mustapha Oukbab, Ahmed Ait Chaoui, Fatiha Chigr, Mohamed Merzouki

Abstract read
In one paragraph

Article in Open veterinary journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rachid HniniBiological Engineering Laboratory, Faculty of Science and Technology, Sultan Moulay Slimane University, FST, Beni Mellal, Morocco.
Eliane SilvaSchool of Medicine and Biomedical Sciences of the University of Porto (ICBAS-UP), Porto, Portugal.
Hicham EsselmaniBiological Engineering Laboratory, Faculty of Science and Technology, Sultan Moulay Slimane University, FST, Beni Mellal, Morocco.
Mohamed ObaouzMomecular Electrochemistry and Inorganic Material Team, Faculty of Sciences and Technology, Sultan Moulay Slimane University, Beni Mellal, Morocco.
Mustapha OukbabMomecular Electrochemistry and Inorganic Material Team, Faculty of Sciences and Technology, Sultan Moulay Slimane University, Beni Mellal, Morocco.
Ahmed Ait ChaouiBiological Engineering Laboratory, Faculty of Science and Technology, Sultan Moulay Slimane University, FST, Beni Mellal, Morocco.
Fatiha ChigrBiological Engineering Laboratory, Faculty of Science and Technology, Sultan Moulay Slimane University, FST, Beni Mellal, Morocco.
Mohamed MerzoukiBiological Engineering Laboratory, Faculty of Science and Technology, Sultan Moulay Slimane University, FST, Beni Mellal, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Somatic cells are milk-secreting epithelial cells shed from the gland lining and white blood cells that enter the mammary gland in response to injury or infection. Aim: The main objective of the present study was to evaluate the quality of bulk raw cow milk by the somatic cell count (SCC) to identify mastitis in four areas of the Beni Mellal-Khenifra region. In addition, the determination of the relationship between the SCC and mastitis caused by Methods: SCC was measured using the DeLaval cell counter, Results: A SCC average of 328.1, 329.2, 325.4, and 311.3 × 10 Conclusion: In conclusion, the SCC,

Indexed as

Mastitis, BovineMilkStaphylococcal InfectionsStaphylococcus aureusAnimalsAnti-Bacterial AgentsCattleCell CountDairyingFemaleMoroccoAnti-Bacterial AgentsAntibioticsMastitis diseaseMoroccoSomatic cell count (SCC)Staphylococcus aureus

Identifiers

PMID41630744
PMCPMC12861425

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.