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Record W2182476337 · doi:10.2106/jbjs.k.00634

Patellar Resurfacing for Total Knee Replacement: Ultimate Answer May Lie in Subgroups

2011· letter· en· W2182476337 on OpenAlexaff
Allan E. Gross

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2011
Typeletter
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsMedicineRandomized controlled trialArthroplastyPatellaSurgeryOxford knee scoreTotal knee arthroplastyPhysical therapyOsteoarthritisAlternative medicine

Abstract

fetched live from OpenAlex

Commentary The study by Breeman et al. is an excellent multi-center, randomized, controlled trial initiated in 1999 that enrolled 1715 patients who were randomly allocated to receive or not receive patellar resurfacing during total knee arthroplasty. The authors examined functional knee scores, cost-effectiveness, and the need for subsequent surgery. It is considered to be a Level-I study and is the largest randomized controlled trial of patellar resurfacing to date. Previous studies were either nonrandomized trials or smaller randomized trials1-4, and the existing systematic reviews were based on only a small number of studies with a high level of evidence5,6. Despite everything that has already been stated in the literature regarding patellar resurfacing, the debate continues with no definitive answer. This topic continues to appear on the program at many of the knee arthroplasty meetings, in the form of either a debate or the most recent opinions—which are often contradictory. Thus, although the article by Breeman et al. is an excellent one, the big question is…does it finally settle this controversy? Sixteen (2.1%) of the 759 patients who did not receive resurfacing eventually underwent a resurfacing less than five years after the primary arthroplasty. Only two patients who received a resurfacing sustained a patellar fracture requiring further surgery. A patella-related reoperation was necessary in 2% of the nonresurfacing group and only 1% of the resurfacing group. The proportion of patients requiring a reoperation of any type in the affected knee was higher in the nonresurfacing group than in the resurfacing group: 5.8% compared with 4.4% for minor to intermediate reoperations and 2.9% compared with 1.6% for major reoperations. The authors, however, noted that the differences were not significant and were probably due to random variations. Despite that, my impression is that there is a trend toward more frequent problems in the nonresurfacing group. Another extremely important finding is that patients who need to undergo a late resurfacing typically do not do as well as patients who had their patella resurfaced during the original arthroplasty. This provides yet another reason for resurfacing the patella during knee arthroplasty. The cost of having the patella resurfaced added significantly to the total cost of the arthroplasty, but this was offset by the smaller number of reoperations required in the resurfacing group than in the nonresurfacing group. The economic analysis therefore yielded a tie between the two groups. This study fails to answer some very important questions. Several parameters were not examined: posterior cruciate-substituting versus posterior cruciate-retaining designs, the effect of knee alignment, and the effect of the degree of osteoarthritis of the patellofemoral joint, which is perhaps the most important question of all. It is possible, for example, that a posterior cruciate-substituting design yields better results if the patella is resurfaced, that a valgus knee does better with patellar resurfacing, and that a knee with severe osteoarthritis of the patellofemoral compartment does better with patellar resurfacing. I am postulating this only because that is my own personal impression, and these questions were not answered by this study. I believe that the sample size in the study was large enough that these parameters could be examined if the necessary data were available. It is hard for me to imagine that a knee with a severe valgus deformity and severe osteoarthritis of the patellofemoral compartment does as well without patellar resurfacing as with patellar resurfacing. I could be wrong—but this article does not provide me with that answer. I would encourage the authors, if it is possible, to look at subgroups of patients and analyze the effects of knee alignment, the degree of osteoarthritis, and cruciate-substituting versus cruciate-retaining designs. Also, the present study should be extended to ten years. In summary, this article actually reassures me, as someone who resurfaces all patellae—but at the same time it probably gives a degree of reassurance to those surgeons who never resurface. I therefore do not believe that opinions will be changed on the basis of this article, and thus the controversy will continue. It is an excellent article analyzing a huge series of patients, but I would encourage the authors to examine the subgroups further.

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)0.019
metaresearch head score (Gemma)0.111
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.111
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0020.008
Open science0.0050.001
Research integrity0.0190.016
Insufficient payload (model declined to judge)0.0150.005

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 head0.040
GPT teacher head0.253
Teacher spread0.213 · 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".

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Citations2
Published2011
Admission routes1
Has abstractyes

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