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Record W3211424424 · doi:10.1002/9781119413936.ch59

Patellar Options in Revision Total Knee Arthroplasty

2021· other· en· W3211424424 on OpenAlexaff
Jesse Wolfstadt, Paul Zalzal

Bibliographic record

VenueEvidence-Based Orthopedics · 2021
Typeother
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsOakville-Trafalgar Memorial HospitalMcMaster University
Fundersnot available
KeywordsMedicineAvascular necrosisSurgeryPatella fracturePatellaArthroplastyRheumatoid arthritisTotal knee arthroplastyAnterior knee painFemoral head

Abstract

fetched live from OpenAlex

This chapter presents a case scenario of a 65-year-old woman with rheumatoid arthritis who presents with a painful right total knee arthroplasty (TKA) five years after index surgery. Poor patellar bone stock may be encountered at the time of revision TKA. Options such as gull-wing osteotomy, bone graft augmentation, cemented all-polyethylene biconvex prostheses, and trabecular metal prostheses have been introduced to address poor patellar bone stock at the time of revision TKA. Surgeons must understand the current evidence before offering a secondary resurfacing to patients with anterior knee pain and an unresurfaced patella. Most modern patellar components are symmetrical domes and compatible with the trochlea of most femoral components. Revision of the patellar component is associated with several complications, including fracture, avascular necrosis, and aseptic loosening. The chapter provides recommendations for implementing evidence-based practice in the clinical setting.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.003

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 head0.036
GPT teacher head0.297
Teacher spread0.261 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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