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Record W2318386099 · doi:10.1055/s-0030-1268693

Results of Porous-Coated Anatomic and Duracon Total Knee Arthroplasty

2010· article· en· W2318386099 on OpenAlexaboutno aff
Jonathon Pennington, John F. Quinlan, Terry Doyle, Ali Bayan, Jean‐Claude Theis

Bibliographic record

VenueThe Journal of Knee Surgery · 2010
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOrthopedic surgeryTotal knee arthroplastyOsteoarthritisArthroplastyTotal knee replacementRadiographyKnee replacementSurgeryOxford knee scoreKnee JointPhysical therapy

Abstract

fetched live from OpenAlex

The Duracon total knee replacement and its forerunner the Porous-Coated Anatomic (PCA) knee system have been associated with good results. This study reviews a series of 181 knee replacements performed with these systems by seven general orthopedic surgeons with follow-up to a mean of 6.7 years. The mean Knee Society knee and function scores were 72 and 68. The mean Western Ontario and MacMaster Universities Osteoarthritis Index score was 76, and the mean 12-Item Short-Form Health Survey result was 55. A mean flexion of 104 degrees was recorded, and 93.8% of patients rated their satisfaction as good to excellent. Fifty-five percent of patients had minor radiographic lucencies-these were of questionable clinical significance. Seven patients required revision. These knee systems used in a relatively low-volume general unit provide consistent results comparable with those from larger arthroplasty units.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.241
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2010
Admission routes1
Has abstractyes

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