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Record W2330093606 · doi:10.1055/s-0031-1299666

Unicompartmental Knee Arthroplasty: Factors Influencing the Outcome

2012· article· en· W2330093606 on OpenAlexaboutno aff
Jonathan Katz, William A. Jiranek, Zhiqing Xing

Bibliographic record

VenueThe Journal of Knee Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsUnicompartmental knee arthroplastyMedicineOsteoarthritisWOMACArthroplastyBody mass indexSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Currently, the outcome and indications of unicompartmental knee arthroplasty (UKA) are still controversial. We retrospectively reviewed a consecutive case series of UKA done by a single surgeon between 2004 and 2007 including 178 knees (140 patients). There were 31 lateral UKA and 147 medial UKA. With a minimum follow-up of 24 months (average 54 months) in 159 knees (other 19 knees were lost to follow-up at 3 to 18 months after surgery), 6 knees (3.8%, all medial UKA) were converted to total knee arthroplasty in 17 to 66 months (average 33 months). We found that the outcome of UKA was not influenced by the patient's age, body mass index, or early degeneration in the patellofemoral joint (PFJ). Compared with other reports, there was a greater proportion of lateral UKA in our series (17.4%). Although lateral UKA showed a trend toward less complications and implant failure compared with medial UKA, WOMAC scores (Western Ontario and McMaster Universities Osteoarthritis Index) were similar between the two types of partial knee arthroplasty. Our results indicate that young age, obesity, and early degeneration in the PFJ may not be contraindications to UKA, and lateral UKA functions as well as, if not better than medial UKA. However, a long-term follow-up is required to confirm these findings.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.044
GPT teacher head0.286
Teacher spread0.241 · 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 designObservational
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

Citations69
Published2012
Admission routes1
Has abstractyes

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