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Record W4408447516 · doi:10.1177/19476035251316715

Successful Vitrification of Human Osteochondral Dowels and Intact Femoral Condyle

2025· article· en· W4408447516 on OpenAlexaff
Mohammadhamed Shahsavari, Shannon Clark, Janet A.W. Elliott, Nadr M. Jomha

Bibliographic record

VenueCartilage · 2025
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCryopreservationVitrificationChondrocyteFEMORAL CONDYLEArticular cartilageCartilageAndrologyCondyleBiomedical engineeringMedicineMaterials scienceAnatomyOsteoarthritisBiologyPathologyEmbryo

Abstract

fetched live from OpenAlex

Objective Cryopreservation via vitrification of articular cartilage (AC) will increase the availability of graft tissue for treating large joint defects. To advance this research area, we compared the effects of 2 cryopreservation protocols in which 10-mm diameter human osteochondral dowels were cooled and stored in liquid nitrogen vapor. Design Dowels collected from healthy human knee joints ( n = 3 donors) of deceased donors were randomly assigned to Protocol 8 (430 min) or Protocol 2BWF (410 min). Post-warming chondrocyte viability was assessed and normalized to fresh controls. Results Both protocols resulted in high chondrocyte viability after loading, vitrification, and rewarming (~80% of fresh control). Protocol 2BWF was subsequently used to vitrify and rewarm 3 human intact lateral femoral condyles. After rewarming, metabolic activity, normalized chondrocyte viability, histology, and matrix productivity were experimentally measured. Results documented ~82% of fresh chondrocyte viability post vitrification and rewarming, with similar results to the fresh control group on the other AC quality criteria. Conclusion These results demonstrate that both Protocol 8 and Protocol 2BWF can preserve the quality of vitrified human AC in osteochondral dowels and human intact femoral condyles.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.337

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.289
Teacher spread0.278 · 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 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
Published2025
Admission routes1
Has abstractyes

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