Evidence map›Paper›PMID 42182921›Full record

ReviewFrontiers in veterinary science2026

Indicators of loss of consciousness in slaughter without stunning: a neuroanatomical reappraisal.

Jacob R Hascalovici, Ruth Woiwode, Hyman M Schipper, Joane Parent

Abstract readReview
In one paragraph

Review in Frontiers in veterinary science, 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

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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

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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

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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

4 authors.

Jacob R HascaloviciDepartment of Neurology, Hackensack Meridian Neuroscience Institute, Hackensack Meridian School of Medicine, Nutley, NJ, United States.
Ruth WoiwodeDepartment of Animal Science, University of Nebraska-Lincoln, Lincoln, NE, United States.
Hyman M SchipperDepartment of Neurology and Neurosurgery, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada.
Joane ParentFaculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimizing animal suffering during slaughter depends on appropriate pre-slaughter handling, technique, and post-slaughter assessment. The post-slaughter phase must include rapid determination of loss of consciousness (LOC) using scientifically based indicators. In religious slaughter, pre-slaughter stunning is prohibited by Jewish law and generally opposed under Islamic law. Consciousness and pain perception arise from complex interactions within the cerebral cortex. International standards governing assessment of LOC commonly rely on indicators of brainstem failure. This approach is appropriate in conventional slaughter with stunning, a technique designed to cause traumatic injury to the cerebral cortex and brainstem. In contrast, religious slaughter is intended to induce LOC through slaughter by exsanguination via ventral neck (SEVNI) where rapid cerebral hypoperfusion results in loss of cortical function. Accordingly, reliance on cortical rather than brainstem indicators is more consistent with the underlying neurobiology of LOC in religious slaughter. In this paper, we examine the neuroanatomical basis of commonly used indicators of (un)consciousness in cattle and assess their scientific and practical applicability to religious slaughter. Brainstem-based indicators have limited applicability in the context of SEVNI, as they do not account for the specific neurophysiological mechanisms underlying LOC in this setting. The current approach is also subject to substantial inter-observer variability and introduces avoidable occupational safety hazards. While not a behavioral indicator, visual confirmation of continuous, high-volume blood flow from the transected carotid arteries reflects rapid cerebral hypoperfusion and is physiologically consistent with irreversible, near-instantaneous LOC. This assessment can be performed reliably from a safe distance.

Indexed as

cattlecerebral cortexhalalloss of consciousness (LOC)shechitaslaughter without stunning

Identifiers

PMID42182921
PMCPMC13189797

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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.