Evidence map›Paper›PMID 42823734›Full record

ReviewActa veterinaria Scandinavica2026

Physiological, genetic and inflammatory factors influencing somatic cell count in goat milk: a review.

Jovita Einorytė, Giedrius Palubinskas, Birutė Šlyžienė, Renata Baltaduonytė, Evaldas Šlyžius

Abstract readReview
In one paragraph

Review in Acta veterinaria Scandinavica, 2026. 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

5 authors.

Jovita EinorytėDepartment of Animal Breeding, Faculty of Animal Science, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, LT-47181, Lithuania. jovita.einoryte@lsmu.lt.ORCID https://orcid.org/0009-0006-1178-0518
Giedrius PalubinskasDepartment of Animal Breeding, Faculty of Animal Science, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, LT-47181, Lithuania.
Birutė ŠlyžienėDepartment of Animal Breeding, Faculty of Animal Science, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, LT-47181, Lithuania.
Renata BaltaduonytėDepartment of Animal Breeding, Faculty of Animal Science, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, LT-47181, Lithuania.
Evaldas ŠlyžiusDepartment of Animal Breeding, Faculty of Animal Science, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, LT-47181, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Somatic cell count (SCC) is widely used as an indicator of milk quality and udder health in ruminants; however, its interpretation in goats remains complex due to species-specific physiology and multifactorial variability. A key challenge in goat dairy production is distinguishing physiological from pathological SCC elevation. This critical narrative review synthesizes current knowledge on physiological, genetic, environmental, and inflammatory determinants of SCC in goat milk and evaluates their implications for milk quality and udder health assessment. The evidence indicates that SCC in goats is inherently elevated due to the apocrine milk secretion mechanism and is further influenced by factors such as lactation stage, parity, environmental conditions, and management practices. Genetic effects are moderate and context-dependent, while intramammary infection remains the primary pathological driver of SCC increase. These findings demonstrate that SCC cannot be reliably interpreted using fixed threshold values. Instead, its diagnostic value depends on context-dependent evaluation. Based on the reviewed evidence, an integrated framework for SCC interpretation is proposed, enabling differentiation between physiological and pathological SCC elevation. This approach supports more accurate diagnostic decision-making and improved milk quality management in goat production systems.

Indexed as

Goat DiseasesGoatsMastitisMilkAnimalsCell CountFemaleInflammationLactationDairy goatsIntramammary infectionMastitisMilk qualityMultifactorial variabilitySCC interpretation

Identifiers

PMID42823734
PMCPMC13632073

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Registered trials

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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.