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Record W2147909690 · doi:10.4021/jmc.v4i12.1524

Knee Joint Osteochondral Reconstruction Using Fresh Femoral Head Autograft

2013· article· en· W2147909690 on OpenAlexvenueno aff
Patrick Weinrauch, Richard Steer, Sharon Kermeci, Kevin Tetsworth

Bibliographic record

VenueJournal of Medical Cases · 2013
Typearticle
Languageen
FieldMedicine
TopicBone and Joint Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFemoral headSurgeryAvascular necrosisFEMORAL CONDYLEArticular surfaceArticular cartilageOsteoarthritisCartilageAnatomy

Abstract

fetched live from OpenAlex

We present the management of polyarticular osteonecrosis in a 17-year-old female, with marked symptoms involving both hips and one knee. As a complication of chemotherapy to treat leukaemia, the articular surfaces of both femoral heads and the right knee lateral femoral condyle collapsed, resulting in significant pain and disability. For this unusual case a novel technique was employed, using a method we believe has not been described previously. The articular surface of the knee was reconstructed using fresh bulk osteochondral autograft harvested from the ipsilateral femoral head during a simultaneous total hip arthroplasty. Reconstructive options in young patients with multiple joints involved are often restricted, and suitable osteochondral allografts can be difficult to obtain. Fresh osteochondral auto-grafting enabled rapid osseous integration and articular surface reconstruction using living host cartilage, resulting in an excellent clinical outcome. Although uncommon, concurrent avascular necrosis of multiple large joints is occasionally encountered, and management options are particularly limited in young patients. We recommend this innovative technique be considered in those patients who satisfy the criteria for bulk osteochondral grafting procedures where total hip replacement is also required. J Med Cases • 2013;4(12):803-810 doi: http://dx.doi.org/10.4021/jmc1524w

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)0.002
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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.062
GPT teacher head0.325
Teacher spread0.263 · 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 designCase report
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

Citations0
Published2013
Admission routes1
Has abstractyes

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