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Record W4409837693 · doi:10.1159/000546157

Sheep Models in Translational Surgery

2025· review· en· W4409837693 on OpenAlexaff
Bertrand Lussier, L. Behr, Nicolas Borenstein, Irena Brants, Charles Garabédian, Louise Ghesquière, Kévin Le Duc, Dyuti Sharma, Laurent Storme, Gwenola Touzot‐Jourde, Jeff White, Thomas Hübert

Bibliographic record

VenueEuropean Surgical Research · 2025
Typereview
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsUniversité de MontréalCegep de Saint HyacintheUniversité du Québec à Montréal
Fundersnot available
KeywordsMedicineOsteoarthritisSurgeryBioinformaticsPathologyBiology

Abstract

fetched live from OpenAlex

BACKGROUND: The selection of an animal model is tedious. One must consider several factors; one of these, of utmost importance, is the translational value of the animal model. The sheep, as a translational surgical model, possesses a multiple of advantages that makes it one of the preferred models in several research domains. SUMMARY: Sheep are the state-of-the-art test models for cardiovascular research and safety studies required for approval of cardiovascular implantable devices; the sheep's heart size, cardiac muscle, heart valves, and the mechanical, haemodynamic, and coagulation parameters are very similar to humans. Furthermore, the pregnant sheep/lamb are robust models for studying neonatal adaptation and placental physiology due to its physiological similarities with humans. Its placental structure supports efficient gas exchange, resembling human oxygen transfer mechanisms. The ovine model is mainly used in studies of adaptation at birth, foetal physiology during labour, and congenital diaphragmatic hernia. The sheep model is also used in several orthopaedic preclinical models, mainly in the study of critical bone defects, cancellous bone healing, osteomyelitis, and joint replacement surgeries. It is also a preferred model of bone healing in osteoporosis. Moreover, the sheep has gained popularity as a model of osteoarthritis (OA); it is a validated model of surgically induced OA. Several therapeutic modalities can be evaluated using validated outcome measures such as, kinetics, kinematics, imaging, repeated arthroscopic grading, synovial fluid analysis, and biomarkers. The ovine model, because of its size, is the closest to humans for the evaluation of spinal surgery techniques, devices, and spinal fusion biological enhancers/cancellous graft replacement. Finally, we will outline the different specificities of sheep analgesia and anaesthesia. Challenges encountered in ruminant anaesthesia are mainly in relation with their digestive physiology that creates a high risk of regurgitation during anaesthesia and a hindrance of diaphragm/respiratory movements due to rumen repletion and meteorism. Fasting regimen and management of recovery should encompass strategies that limit the starving sensation and allow for reduced social isolation. Clarification of the interactions between scientific objectives and anaesthesia-analgesia protocols prevents conflicts between the ethics and the purpose of the experiment while allowing for development of model-specific anaesthesia and pain management protocols. KEY MESSAGES: The sheep has become a popular model because of its size, availability, robustness, cost, and ease of handling. Furthermore, as a preclinical model, the same validated objective outcome measures used to measure success in humans can apply to sheep.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.314
GPT teacher head0.487
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

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