MétaCan
Menu
Back to cohort
Record W3129152468 · doi:10.1055/s-0041-1723796

Total Ankle Replacement Requiring Distal Tibiofibular Arthrodesis in a Dog

2021· article· en· W3129152468 on OpenAlexaboutno aff
Neil J. Burton, Maciej Krukowski

Bibliographic record

VenueVCOT Open · 2021
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineArthrodesisProsthesisOsteoarthritisSurgeryAnkle replacementTibiaArthroplastyAnkleRadiological weaponOrthopedic surgeryLameness

Abstract

fetched live from OpenAlex

Abstract This case report describes distal tibiofibular arthrodesis as a technique for achieving increased confluent bone support for the placement of oversized arthroplasty components for talocrural arthroplasty in an 18-month-old Labrador Retriever with talocrural osteoarthritis secondary to talar osteochondrosis. Computed tomography assessment for suitability for BioMedtrix canine ankle replacement surgery revealed the tibia to be undersized relative to the tibial component. Distal tibiofibular arthrodesis was performed to increase lateral bone support to permit placement of an otherwise oversized prosthesis. Subjective assessment of outcome with owner Liverpool Osteoarthritis in Dogs questionnaire to 6 months postoperatively as well as radiological assessment to 4 months postoperatively documented significant improvement in lameness in the operated limb with no complications. Distal tibiofibular arthrodesis is a means by which to achieve increased bone support prior to BioMedtrix canine total ankle replacement surgery. The surgical technique described herein permitted placement of an oversized talocrural prosthesis in this patient with good clinical function. This technique may permit use of this arthroplasty system in otherwise undersized patients until such a time that smaller implants are available from the manufacturer.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.088
GPT teacher head0.369
Teacher spread0.281 · 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.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueVCOT OpenSame topicVeterinary Orthopedics and NeurologyFrench-language works237,207