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Record W4410404378 · doi:10.1111/os.70063

The Perioperative Resource Use and Effectiveness of Patellofemoral Arthroplasty Versus Total Knee Arthroplasty: A Meta‐Analysis

2025· review· en· W4410404378 on OpenAlexaboutno aff
Ziying Wu, Ning Wang, Jian Zhang, Cong Lü, Wenni Rong, Xiang Ding, Guanghua Lei

Bibliographic record

VenueOrthopaedic Surgery · 2025
Typereview
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsnot available
FundersNational Key Research and Development Program of ChinaNatural Science Foundation of Hunan ProvinceChina Postdoctoral Science FoundationNational Natural Science Foundation of China
KeywordsMedicinePerioperativeMeta-analysisCochrane LibraryArthroplastyOsteoarthritisConfidence intervalRandomized controlled trialObservational studyPhysical therapyTotal knee arthroplastyQuality of life (healthcare)Relative riskSurgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Patellofemoral osteoarthritis (PFOA) is a common condition that significantly affects quality of life. With advancements in modern patellofemoral arthroplasty (PFA) prostheses, a growing number of surgeons are opting for PFA to treat isolated PFOA. This meta-analysis aimed to compare the perioperative resource use and therapeutic outcomes of PFA versus total knee arthroplasty (TKA) in patients with isolated PFOA. METHODS: A literature search was conducted in PubMed, EMBASE, the Cochrane Library, and the Web of Science until November 2024. The included studies provided direct comparisons of perioperative resource use (surgical time, blood loss, and length of stay) and postoperative outcomes (patient-reported outcome measures [PROMs], quality of life, and patient satisfaction) between modern PFA and TKA in patients with isolated PFOA. The Cochrane risk of bias assessment tool was applied to randomized controlled trials, and the modified Newcastle-Ottawa Scale was used for observational studies to evaluate methodological quality and risk of bias. Data was extracted from eligible studies and combined to calculate the mean difference (MD) or pooled relative risk with a 95% confidence interval (CI). RESULTS: We included eight eligible studies with a mean follow-up duration of 2-10 years. Compared with TKA, modern PFA demonstrated significantly shorter surgical times (MD = -13.67 min; 95% CI: -20.47 to -6.86) and reduced perioperative blood loss. However, no significant difference was observed in hospital length of stay. Regarding PROMs, PFA showed superior functional outcomes on the Oxford Knee Score (OKS) within 2 years postoperatively (MD = -2.02; 95% CI: -3.77 to -0.26). No significant differences were found between PFA and TKA at 12-month follow-up for the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) function score (MD = -5.68; 95% CI: -21.54 to 10.18) or total WOMAC score (MD = -6.65; 95% CI: -30.00 to 16.70). Similarly, at 24-month follow-up, no differences were observed in the University of California, Los Angeles activity score (MD = -0.02; 95% CI: -1.79 to 1.75) or final OKS (MD = -1.09; 95% CI: -6.31 to 4.14). Quality of life and patient satisfaction remained comparable between the two procedures throughout the first 2 years and final follow-up. CONCLUSIONS: PFA demonstrates comparable efficacy to TKA in isolated PFOA, with superior early functional recovery within the first 2 years post-surgery, shorter surgical duration, and reduced blood loss. These findings suggest PFA may be a resource-efficient alternative for eligible patients.

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)0.013
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.025
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0160.062
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.059
GPT teacher head0.274
Teacher spread0.214 · 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 designMeta-analysis
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

Citations3
Published2025
Admission routes1
Has abstractyes

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